id	sid	tid	token	lemma	pos
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	1	A	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	2	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	3	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	4	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	5	solution	solution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	6	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	7	fast	fast	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	8	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	9	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	11	betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	12	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	13	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	14	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	15	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	16	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	17	A	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	18	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	19	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	20	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	21	solution	solution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	22	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	23	fast	fast	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	24	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	25	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	26	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	27	betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	28	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	29	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	30	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	31	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	32	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	33	Rui	Rui	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	34	Fan1	Fan1	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	35	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	36	Ke	Ke	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	37	Xu1	xu1	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	38	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	39	Jichang	Jichang	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	40	Zhao2	Zhao2	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	41	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	42	State	State	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	43	Key	Key	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	44	Laboratory	Laboratory	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	45	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	46	Software	Software	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	47	Development	Development	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	48	Environment	Environment	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	49	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	50	Beihang	Beihang	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	51	University	University	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	52	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	53	Beijing	Beijing	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	54	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	55	PR	PR	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	56	China	China	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	57	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	58	School	School	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	59	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	60	Economics	Economics	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	61	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	62	Management	Management	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	63	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	64	Beihang	Beihang	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	65	University	University	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	66	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	67	Beijing	Beijing	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	68	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	69	PR	PR	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	70	China	China	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	71	ABSTRACT	ABSTRACT	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	72	Betweenness	Betweenness	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	73	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	74	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	75	widely	widely	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	76	employed	employ	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	77	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	78	measure	measure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	79	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	80	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	81	science	science	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	82	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	83	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	84	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	85	decent	decent	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	86	proxy	proxy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	87	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	88	investigating	investigate	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	89	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	90	loads	load	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	91	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	92	rankings	ranking	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	1	93	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	2	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	2	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	2	3	its	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	2	4	extremely	extremely	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	2	5	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	2	6	computational	computational	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	2	7	cost	cost	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	2	8	greatly	greatly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	2	9	hinders	hinder	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	2	10	its	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	2	11	applicability	applicability	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	2	12	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	2	13	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	2	14	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	2	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	1	Although	although	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	2	several	several	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	3	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	4	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	5	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	6	been	be	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	7	presented	present	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	8	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	9	reduce	reduce	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	10	its	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	11	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	12	cost	cost	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	13	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	14	unweighted	unweighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	15	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	17	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	18	fast	fast	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	19	solution	solution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	20	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	21	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	22	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	24	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	25	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	26	commonly	commonly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	27	encountered	encounter	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	28	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	29	many	many	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	30	realistic	realistic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	31	applications	application	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	32	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	33	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	34	still	still	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	35	lacking	lack	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	3	36	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	3	study	study	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	5	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	6	develop	develop	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	7	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	8	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	9	parallel	parallel	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	10	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	11	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	12	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	13	approach	approach	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	14	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	15	boost	boost	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	16	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	17	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	18	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	19	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	20	betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	21	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	22	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	23	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	24	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	25	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	26	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	27	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	28	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	4	29	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	2	parallelize	parallelize	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	4	traditional	traditional	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	5	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	6	algorithm	algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	7	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	8	selecting	select	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	9	more	more	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	10	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	11	one	one	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	12	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	13	vertex	vertex	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	14	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	15	time	time	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	16	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	17	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	18	inspecting	inspect	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	19	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	20	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	21	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	22	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	5	23	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	1	By	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	2	combining	combine	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	4	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	5	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	6	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	7	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	9	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	10	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	11	framework	framework	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	13	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	14	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	15	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	16	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	17	betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	18	algorithm	algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	19	achieves	achieve	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	20	much	much	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	21	better	well	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	22	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	23	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	24	its	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	25	CPU	CPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	26	counterparts	counterpart	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	6	27	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	1	Moreover	moreover	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	3	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	4	further	further	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	5	improve	improve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	6	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	8	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	9	integrate	integrate	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	11	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	12	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	13	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	14	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	16	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	17	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	18	address	address	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	19	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	20	load-	load-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	21	imbalance	imbalance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	22	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	24	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	25	introduce	introduce	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	26	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	27	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	28	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	29	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	30	technique	technique	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	31	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	32	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	33	assigns	assign	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	34	many	many	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	35	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	36	rather	rather	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	37	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	38	one	one	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	39	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	40	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	41	single	single	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	42	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	43	vertex	vertex	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	7	44	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	1	Experiments	experiment	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	2	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	3	both	both	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	4	realistic	realistic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	5	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	6	synthetic	synthetic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	7	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	8	demonstrate	demonstrate	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	10	efficiency	efficiency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	11	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	12	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	13	solution	solution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	15	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	16	achieves	achieve	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	17	2.9	2.9	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	18	�	�	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	19	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	20	8.44	8.44	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	21	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	22	speedups	speedup	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	23	over	over	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	24	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	25	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	26	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	27	implementation	implementation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	8	28	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	1	Our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	2	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	3	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	4	open	open	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	5	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	6	source	source	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	7	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	8	free	free	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	9	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	11	community	community	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	12	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	13	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	14	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	15	publicly	publicly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	16	available	available	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	17	through	through	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	18	https://dx.doi.org/10.6084/m9.figshare.4542405	https://dx.doi.org/10.6084/m9.figshare.4542405	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	9	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	1	Considering	consider	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	3	pervasive	pervasive	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	4	deployment	deployment	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	5	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	6	declining	decline	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	7	price	price	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	8	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	9	GPUs	gpu	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	10	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	11	personal	personal	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	12	computers	computer	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	13	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	14	servers	server	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	16	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	17	solution	solution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	18	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	19	offer	offer	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	20	unprecedented	unprecedented	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	21	opportunities	opportunity	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	22	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	23	exploring	explore	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	24	betweenness	betweenness	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	25	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	26	related	relate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	27	problems	problem	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	28	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	29	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	30	motivate	motivate	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	31	follow	follow	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	32	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	33	up	up	RP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	34	efforts	effort	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	35	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	36	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	37	science	science	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	10	38	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	1	Subjects	subject	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	2	Distributed	distribute	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	3	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	4	Parallel	Parallel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	5	Computing	Computing	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	7	Network	Network	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	8	Science	Science	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	9	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	10	Online	Online	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	11	Social	Social	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	12	Networks	Networks	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	13	Keywords	Keywords	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	14	Parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	15	computing	computing	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	17	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	18	computing	computing	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	19	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	20	Betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	21	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	22	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	23	Weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	24	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	25	INTRODUCTION	introduction	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	26	As	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	27	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	28	emerging	emerge	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	29	multidisciplinary	multidisciplinary	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	30	research	research	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	31	area	area	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	32	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	33	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	34	science	science	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	35	has	have	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	36	attracted	attract	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	37	much	much	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	38	attention	attention	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	39	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	40	researchers	researcher	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	41	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	42	various	various	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	43	backgrounds	background	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	44	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	45	such	such	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	46	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	47	computer	computer	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	48	science	science	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	49	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	50	biology	biology	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	51	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	52	physics	physics	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	53	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	54	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	55	recent	recent	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	56	decades	decade	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	11	57	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	2	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	3	contributions	contribution	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	6	betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	7	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	8	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	9	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	10	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	11	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	12	often	often	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	13	applied	apply	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	14	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	15	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	16	critical	critical	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	17	metric	metric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	18	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	19	measuring	measure	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	20	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	21	significance	significance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	22	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	23	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	24	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	25	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	26	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	27	Ma	Ma	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	28	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	29	Sayama	Sayama	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	30	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	31	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	32	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	33	Freeman	Freeman	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	34	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	35	1977	1977	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	36	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	37	Barthélemy	Barthélemy	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	38	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	39	2004	2004	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	40	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	41	Abedi	Abedi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	42	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	43	Gheisari	Gheisari	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	44	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	45	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	46	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	47	Goh	Goh	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	48	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	49	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	50	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	51	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	52	2003	2003	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	53	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	12	54	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	2	example	example	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	4	Girvan	Girvan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	5	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	6	Newman	Newman	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	7	developed	develop	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	8	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	9	community	community	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	10	detection	detection	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	11	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	12	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	13	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	14	edge	edge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	15	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	16	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	17	Girvan	Girvan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	18	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	19	Newman	Newman	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	20	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	21	2002	2002	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	22	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	24	Leydesdorff	Leydesdorff	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	25	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	26	2007	2007	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	27	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	28	used	use	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	29	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	30	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	31	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	32	indicator	indicator	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	33	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	34	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	35	interdisciplinarity	interdisciplinarity	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	36	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	37	scientific	scientific	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	38	journals	journal	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	39	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	40	Motter	Motter	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	41	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	42	Lai	Lai	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	43	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	44	2002	2002	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	45	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	46	established	establish	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	47	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	48	model	model	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	49	How	how	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	50	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	51	cite	cite	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	52	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	53	article	article	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	54	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	55	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	56	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	13	57	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	5	A	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	6	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	7	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	8	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	9	solution	solution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	10	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	11	fast	fast	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	12	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	13	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	14	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	15	betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	16	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	17	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	18	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	19	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	20	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	14	21	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	15	1	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	15	2	Comput	comput	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	15	3	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	16	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	16	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	1	3	3	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	3	e140	e140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	4	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	5	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	6	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	7	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	8	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	10	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	11	Submitted	submit	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	12	10	10	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	13	August	August	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	14	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	15	Accepted	accept	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	16	11	11	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	17	November	November	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	18	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	19	Published	publish	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	20	4	4	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	21	December	December	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	22	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	23	Corresponding	Corresponding	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	24	author	author	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	25	Jichang	Jichang	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	26	Zhao	Zhao	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	27	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	28	jichang@buaa.edu.cn	jichang@buaa.edu.cn	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	29	Academic	academic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	30	editor	editor	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	31	John	John	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	32	Owens	Owens	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	33	Additional	Additional	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	34	Information	Information	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	35	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	36	Declarations	declaration	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	37	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	38	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	39	found	find	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	40	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	41	page	page	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	42	20	20	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	43	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	44	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	45	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	46	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	47	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	48	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	49	Copyright	Copyright	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	50	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	51	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	52	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	53	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	17	54	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	1	Distributed	distribute	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	2	under	under	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	3	Creative	Creative	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	4	Commons	Commons	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	5	CC	CC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	6	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	7	BY	BY	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	8	4.0	4.0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	9	https://dx.doi.org/10.6084/m9.figshare.4542405	https://dx.doi.org/10.6084/m9.figshare.4542405	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	10	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	11	mailto	mailto	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	12	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	13	jichang@	jichang@	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	14	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	15	buaa.	buaa.	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	16	�	�	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	17	edu.	edu.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	18	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	19	cn	cn	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	20	https://peerj.com/academic-boards/editors/	https://peerj.com/academic-boards/editors/	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	21	https://peerj.com/academic-boards/editors/	https://peerj.com/academic-boards/editors/	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	22	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	23	http://www.creativecommons.org/licenses/by/4.0/	http://www.creativecommons.org/licenses/by/4.0/	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	24	http://www.creativecommons.org/licenses/by/4.0/	http://www.creativecommons.org/licenses/by/4.0/	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	25	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	26	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	27	cascading	cascade	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	28	failures	failure	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	29	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	30	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	31	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	32	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	33	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	34	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	35	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	36	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	37	represented	represent	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	38	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	39	its	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	40	betweenness	betweenness	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	18	41	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	4	extremely	extremely	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	5	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	6	temporal	temporal	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	7	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	8	spatial	spatial	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	9	complexity	complexity	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	10	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	12	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	13	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	14	greatly	greatly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	15	limits	limit	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	16	its	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	17	applicability	applicability	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	18	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	19	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	20	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	19	21	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	1	Before	before	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	3	landmark	landmark	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	4	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	5	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	6	Brandes	Brandes	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	7	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	8	2001	2001	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	9	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	12	complexity	complexity	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	13	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	14	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	15	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	16	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	17	computing	compute	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	19	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	20	was	be	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	21	O(n	o(n	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	22	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	23	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	24	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	25	time	time	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	26	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	27	O(n	o(n	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	28	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	29	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	30	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	31	space	space	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	20	32	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	1	Brandes	brande	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	2	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	3	2001	2001	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	4	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	5	reduced	reduce	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	7	complexity	complexity	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	8	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	9	O(n	o(n	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	10	+	+	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	11	m	m	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	12	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	13	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	14	space	space	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	15	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	16	O(nm	o(nm	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	17	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	18	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	19	O(nm	o(nm	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	20	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	21	n	n	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	22	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	23	log	log	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	24	n	n	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	25	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	26	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	27	time	time	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	28	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	29	unweighted	unweighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	30	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	31	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	32	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	33	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	34	respectively	respectively	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	35	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	36	where	where	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	37	n	n	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	38	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	39	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	40	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	41	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	42	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	43	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	44	m	m	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	45	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	46	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	47	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	48	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	49	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	21	50	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	3	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	4	improved	improve	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	5	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	6	still	still	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	7	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	8	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	9	satisfy	satisfy	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	11	requirements	requirement	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	12	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	13	scientific	scientific	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	14	computations	computation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	15	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	16	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	17	present	present	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	18	era	era	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	19	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	20	information	information	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	21	explosion	explosion	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	22	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	23	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	24	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	25	increasing	increase	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	26	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	27	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	28	unexpectedly	unexpectedly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	29	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	30	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	31	emerge	emerge	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	32	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	33	such	such	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	34	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	35	online	online	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	36	social	social	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	37	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	38	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	39	gene	gene	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	40	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	41	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	42	collaboration	collaboration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	43	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	22	44	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	2	example	example	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	4	Twitter	Twitter	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	5	has	have	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	6	hundreds	hundred	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	7	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	8	millions	million	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	9	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	10	active	active	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	11	users	user	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	13	who	who	WP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	14	form	form	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	15	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	16	enormous	enormous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	17	online	online	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	18	social	social	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	19	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	23	20	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	3	calculating	calculate	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	5	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	6	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	7	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	8	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	9	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	10	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	11	one	one	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	12	million	million	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	13	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	14	may	may	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	15	take	take	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	16	approximately	approximately	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	17	one	one	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	18	year	year	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	19	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	20	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	21	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	22	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	23	unsupportable	unsupportable	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	24	time	time	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	25	cost	cost	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	24	26	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	1	Existing	exist	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	2	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	3	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	4	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	5	may	may	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	6	reduce	reduce	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	7	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	8	time	time	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	9	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	10	several	several	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	11	months	month	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	12	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	13	however	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	15	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	16	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	17	still	still	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	18	too	too	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	19	expensive	expensive	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	25	20	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	1	Because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	2	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	3	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	4	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	6	there	there	EX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	7	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	8	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	9	pressing	press	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	10	need	need	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	11	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	12	develop	develop	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	13	faster	fast	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	14	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	15	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	16	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	18	exploration	exploration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	19	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	20	diverse	diverse	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	21	domains	domain	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	26	22	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	1	General	general	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	2	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	3	purpose	purpose	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	4	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	5	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	6	GPGPU	GPGPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	7	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	8	computing	computing	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	10	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	11	has	have	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	12	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	13	parallelization	parallelization	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	15	provides	provide	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	16	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	17	opportunity	opportunity	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	18	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	19	employ	employ	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	20	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	21	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	22	implemented	implement	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	23	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	24	GPUs	gpu	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	25	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	26	achieve	achieve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	27	better	well	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	28	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	27	29	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	2	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	3	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	4	related	relate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	5	problems	problem	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	7	researchers	researcher	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	8	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	9	devoted	devote	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	10	efforts	effort	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	11	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	12	conquering	conquer	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	13	irregular	irregular	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	14	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	15	structures	structure	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	16	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	17	GPGPU	GPGPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	18	techniques	technique	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	19	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	20	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	21	achieved	achieve	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	22	higher	high	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	23	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	24	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	25	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	26	possible	possible	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	27	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	28	traditional	traditional	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	29	sequential	sequential	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	30	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	31	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	32	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	33	Mitchell	Mitchell	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	34	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	35	Frank	Frank	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	36	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	37	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	38	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	39	Merrill	Merrill	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	40	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	41	Garland	Garland	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	42	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	43	Grimshaw	Grimshaw	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	44	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	45	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	46	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	47	Wang	Wang	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	48	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	49	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	50	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	51	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	52	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	53	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	54	Harish	Harish	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	55	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	56	Narayanan	Narayanan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	57	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	58	2007	2007	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	59	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	60	Cong	Cong	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	61	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	62	Bader	Bader	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	63	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	64	2005	2005	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	65	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	28	66	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	1	CUDA	CUDA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	3	developed	develop	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	4	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	5	Nvidia	Nvidia	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	6	Corporation	Corporation	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	8	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	10	most	most	RBS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	11	popular	popular	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	12	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	13	computing	computing	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	14	framework	framework	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	16	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	17	some	some	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	18	researchers	researcher	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	19	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	20	even	even	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	21	used	use	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	22	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	23	framework	framework	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	24	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	25	parallelize	parallelize	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	26	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	27	Brandes	Brandes	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	28	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	29	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	30	Shi	Shi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	31	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	32	Zhang	Zhang	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	33	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	34	2011	2011	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	35	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	36	Sariyüce	sariyüce	ADD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	37	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	38	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	39	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	40	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	41	2013	2013	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	42	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	43	McLaughlin	McLaughlin	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	44	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	45	Bader	Bader	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	46	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	47	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	48	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	49	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	50	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	29	51	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	3	previous	previous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	4	works	work	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	5	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	6	concentrated	concentrate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	7	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	8	unweighted	unweighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	9	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	10	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	11	simplicity	simplicity	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	13	although	although	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	14	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	16	best	good	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	17	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	18	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	19	knowledge	knowledge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	20	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	21	many	many	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	22	realistic	realistic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	23	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	24	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	25	weighted	weight	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	26	ones	one	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	30	27	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	2	most	most	RBS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	3	significant	significant	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	4	difference	difference	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	5	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	7	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	8	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	9	between	between	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	10	unweighted	unweighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	11	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	12	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	13	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	14	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	16	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	17	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	18	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	19	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	31	20	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	2	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	3	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	6	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	7	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	8	should	should	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	9	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	10	used	use	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	11	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	12	solve	solve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	14	single	single	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	15	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	16	source	source	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	17	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	18	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	19	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	20	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	21	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	22	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	23	rather	rather	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	24	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	25	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	26	breadth	breadth	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	27	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	28	first	first	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	29	search	search	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	30	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	31	BFS	BFS	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	32	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	33	algorithm	algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	32	34	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	2	previous	previous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	3	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	5	many	many	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	6	efforts	effort	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	7	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	8	been	be	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	9	devoted	devoted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	10	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	11	developing	develop	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	12	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	13	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	14	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	15	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	16	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	17	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	18	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	19	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	20	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	21	well	well	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	22	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	23	known	know	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	24	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	25	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	26	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	27	Martin	Martin	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	28	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	29	Torres	Torres	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	30	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	31	Gavilanes	Gavilanes	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	32	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	33	2009	2009	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	34	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	35	Ortega	Ortega	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	36	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	37	Arranz	Arranz	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	38	et	et	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	39	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	40	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	41	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	42	2013	2013	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	43	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	44	Delling	Delling	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	45	et	et	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	46	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	47	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	48	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	49	2011	2011	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	50	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	51	Davidson	Davidson	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	52	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	53	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	54	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	55	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	56	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	57	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	33	58	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	1	Although	although	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	2	such	such	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	3	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	4	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	5	been	be	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	6	successfully	successfully	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	7	developed	develop	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	8	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	9	presented	present	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	11	establishing	establish	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	12	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	13	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	14	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	15	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	16	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	17	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	18	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	19	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	20	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	21	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	22	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	23	nontrivial	nontrivial	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	24	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	25	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	26	original	original	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	27	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	28	algorithm	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	29	must	must	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	30	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	31	modified	modify	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	32	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	33	many	many	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	34	critical	critical	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	35	aspects	aspect	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	36	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	37	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	38	task	task	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	39	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	40	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	41	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	42	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	43	best	good	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	44	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	45	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	46	knowledge	knowledge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	47	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	48	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	49	suitable	suitable	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	50	fast	fast	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	51	solution	solution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	52	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	53	still	still	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	54	lacking	lack	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	34	55	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	1	With	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	3	aim	aim	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	5	filling	fill	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	6	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	7	vital	vital	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	8	gap	gap	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	10	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	11	propose	propose	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	12	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	13	fast	fast	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	14	solution	solution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	15	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	16	CUDA	CUDA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	17	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	18	calculating	calculate	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	19	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	20	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	21	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	22	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	23	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	24	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	25	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	26	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	27	previous	previous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	28	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	29	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	30	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	31	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	32	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	33	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	35	34	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	1	To	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	2	make	make	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	3	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	4	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	5	more	more	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	6	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	8	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	9	make	make	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	10	efforts	effort	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	11	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	12	optimize	optimize	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	13	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	14	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	15	employing	employ	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	16	several	several	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	17	novel	novel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	18	techniques	technique	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	19	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	20	overcome	overcome	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	21	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	22	influence	influence	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	23	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	24	irregular	irregular	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	25	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	26	structures	structure	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	36	27	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	1	Real	real	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	2	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	3	world	world	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	4	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	5	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	6	many	many	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	7	characteristics	characteristic	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	8	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	9	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	10	degrade	degrade	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	12	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	13	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	14	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	15	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	16	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	37	17	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	38	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	38	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	38	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	38	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	38	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	38	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	38	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	10	2/23	2/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	11	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	13	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	14	parallelization	parallelization	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	15	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	39	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	2	example	example	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	5	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	6	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	7	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	8	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	9	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	10	always	always	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	11	small	small	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	12	compared	compare	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	13	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	14	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	15	total	total	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	16	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	17	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	18	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	19	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	20	especially	especially	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	21	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	22	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	23	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	24	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	25	diameters	diameter	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	40	26	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	1	At	at	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	3	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	4	time	time	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	7	majority	majority	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	8	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	10	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	11	do	do	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	12	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	13	need	need	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	14	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	15	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	16	inspected	inspect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	17	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	18	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	19	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	20	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	21	hence	hence	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	22	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	23	processing	process	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	24	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	25	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	26	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	27	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	28	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	29	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	30	done	do	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	31	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	32	traditional	traditional	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	33	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	34	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	35	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	36	wasteful	wasteful	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	41	37	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	1	McLaughlin	McLaughlin	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	2	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	3	Bader	Bader	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	4	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	5	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	6	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	7	proposed	propose	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	8	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	9	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	10	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	11	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	12	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	13	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	14	overcome	overcome	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	15	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	16	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	42	17	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	1	Another	another	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	2	well	well	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	3	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	4	known	know	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	5	issue	issue	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	6	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	7	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	9	power	power	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	10	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	11	law	law	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	12	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	13	distribution	distribution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	14	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	15	realistic	realistic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	16	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	17	induces	induce	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	18	severe	severe	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	19	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	20	imbalance	imbalance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	43	21	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	1	Several	several	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	2	methods	method	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	3	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	4	been	be	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	5	proposed	propose	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	6	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	7	previous	previous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	8	studies	study	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	9	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	10	overcome	overcome	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	11	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	12	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	13	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	14	e.g.	e.g.	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	16	Jia	Jia	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	17	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	18	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	44	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	2	2011	2011	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	4	employed	employ	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	5	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	6	edge	edge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	7	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	8	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	9	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	10	avoid	avoid	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	11	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	12	imbalance	imbalance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	14	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	15	Hong	Hong	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	16	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	17	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	45	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	46	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	46	2	2011	2011	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	46	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	46	4	addressed	address	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	46	5	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	46	6	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	46	7	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	46	8	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	46	9	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	46	10	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	46	11	technique	technique	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	46	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	3	paper	paper	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	5	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	6	systematically	systematically	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	7	investigate	investigate	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	9	advantages	advantage	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	10	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	11	disadvantages	disadvantage	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	12	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	13	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	14	previous	previous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	15	methods	method	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	16	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	17	incorporate	incorporate	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	18	them	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	19	into	into	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	20	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	21	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	22	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	23	solve	solve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	24	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	25	above	above	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	26	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	27	problems	problem	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	47	28	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	1	Experiments	experiment	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	2	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	3	both	both	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	4	real	real	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	5	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	6	world	world	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	7	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	8	synthetic	synthetic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	9	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	10	demonstrate	demonstrate	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	11	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	12	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	13	algorithm	algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	14	significantly	significantly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	15	outperforms	outperform	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	16	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	17	baseline	baseline	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	18	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	19	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	48	20	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	1	Our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	2	main	main	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	3	contributions	contribution	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	4	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	5	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	6	follows	follow	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	7	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	8	�	�	``
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	9	Based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	10	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	11	previous	previous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	12	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	13	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	14	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	15	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	16	SSSP	SSSP	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	17	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	18	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	19	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	20	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	21	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	22	propose	propose	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	23	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	24	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	25	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	26	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	27	calculating	calculate	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	28	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	29	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	30	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	31	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	32	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	33	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	34	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	35	achieves	achieve	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	36	2.9	2.9	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	37	�	�	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	38	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	39	8.44	8.44	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	40	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	41	speedups	speedup	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	42	over	over	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	43	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	44	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	45	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	46	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	47	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	48	realistic	realistic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	49	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	49	50	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	1	�	�	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	2	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	3	compare	compare	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	5	traditional	traditional	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	6	node	node	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	7	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	8	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	9	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	10	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	12	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	13	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	14	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	15	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	16	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	18	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	19	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	20	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	21	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	50	22	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	1	Experiments	experiment	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	2	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	3	realistic	realistic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	4	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	5	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	6	synthetic	synthetic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	7	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	8	demonstrate	demonstrate	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	9	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	11	combination	combination	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	12	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	13	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	14	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	15	strategies	strategy	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	16	performs	perform	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	17	better	well	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	18	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	19	either	either	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	20	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	21	basic	basic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	22	node	node	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	23	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	24	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	25	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	26	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	27	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	28	individual	individual	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	29	strategies	strategy	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	30	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	31	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	32	achieves	achieve	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	33	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	34	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	35	speedup	speedup	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	36	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	37	2.34	2.34	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	38	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	39	over	over	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	40	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	41	baseline	baseline	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	42	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	43	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	44	realistic	realistic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	45	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	51	46	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	1	�	�	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	2	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	3	package	package	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	4	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	5	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	6	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	7	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	8	useful	useful	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	9	tool	tool	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	10	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	11	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	12	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	13	used	use	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	14	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	15	calculate	calculate	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	16	both	both	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	17	node	node	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	18	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	19	edge	edge	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	20	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	21	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	22	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	23	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	52	24	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	1	Researchers	researcher	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	2	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	3	apply	apply	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	4	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	5	tool	tool	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	6	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	7	quickly	quickly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	8	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	9	conveniently	conveniently	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	10	calculate	calculate	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	11	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	12	values	value	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	13	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	14	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	15	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	17	especially	especially	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	18	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	19	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	53	20	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	54	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	54	2	source	source	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	54	3	code	code	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	54	4	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	54	5	publicly	publicly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	54	6	available	available	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	54	7	through	through	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	54	8	https://dx.doi.org/10.6084/m9.figshare.4542405	https://dx.doi.org/10.6084/m9.figshare.4542405	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	54	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	1	BACKGROUND	BACKGROUND	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	2	First	first	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	4	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	5	briefly	briefly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	6	introduce	introduce	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	8	well	well	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	10	known	know	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	11	Brandes	brande	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	12	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	13	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	14	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	15	algorithm	algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	16	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	17	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	18	preliminary	preliminary	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	19	definitions	definition	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	20	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	21	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	22	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	23	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	24	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	25	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	55	26	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	1	Brandes	brande	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	2	algorithm	algorithm	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	3	A	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	4	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	5	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	6	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	7	denoted	denote	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	8	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	9	G(V	g(v	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	11	E	e	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	12	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	14	where	where	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	15	V	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	16	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	18	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	19	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	20	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	21	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	22	E	e	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	23	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	24	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	25	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	26	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	27	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	56	28	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	1	An	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	2	edge	edge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	3	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	4	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	5	denoted	denote	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	6	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	7	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	8	u	u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	10	v	v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	12	w	w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	13	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	15	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	16	means	mean	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	17	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	18	there	there	EX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	19	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	20	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	21	link	link	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	22	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	23	weight	weight	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	24	w	w	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	25	connecting	connect	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	26	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	27	u	u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	28	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	29	v.	v.	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	30	If	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	31	edge	edge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	32	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	33	u	u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	34	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	35	v	v	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	36	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	37	exists	exist	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	38	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	39	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	40	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	41	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	42	traversed	traverse	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	43	either	either	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	44	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	45	u	u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	46	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	47	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	48	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	49	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	50	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	51	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	52	u	u	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	53	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	54	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	55	focus	focus	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	56	only	only	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	57	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	58	undirected	undirected	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	59	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	60	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	61	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	62	paper	paper	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	57	63	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	2	directed	direct	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	3	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	5	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	6	only	only	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	7	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	8	edge	edge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	9	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	10	u	u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	12	v	v	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	13	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	14	exists	exist	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	16	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	18	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	19	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	20	store	store	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	21	only	only	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	22	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	23	edge	edge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	24	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	25	u	u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	26	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	27	v	v	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	28	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	29	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	30	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	31	process	process	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	32	only	only	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	33	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	34	edge	edge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	35	when	when	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	36	inspecting	inspect	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	37	vertex	vertex	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	38	u	u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	39	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	40	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	41	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	42	ignore	ignore	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	43	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	44	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	45	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	46	u	u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	47	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	48	when	when	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	49	inspecting	inspect	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	50	vertex	vertex	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	51	v.	v.	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	52	Thus	thus	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	53	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	54	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	55	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	56	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	57	easily	easily	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	58	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	59	extended	extend	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	60	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	61	directed	direct	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	62	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	58	63	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	1	A	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	2	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	3	P	p	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	4	=	=	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	5	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	6	s	s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	8	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	9	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	10	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	12	t	t	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	13	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	14	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	15	defined	define	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	16	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	17	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	18	sequence	sequence	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	19	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	20	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	21	connected	connect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	22	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	23	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	24	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	25	where	where	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	26	s	s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	27	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	28	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	29	starting	start	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	30	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	31	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	32	t	t	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	33	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	34	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	35	ending	end	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	36	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	59	37	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	2	length	length	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	3	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	4	P	p	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	5	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	7	sum	sum	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	8	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	10	weights	weight	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	11	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	12	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	13	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	14	contained	contain	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	15	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	16	P.	P.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	17	d(s	d(s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	18	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	19	t	t	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	20	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	21	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	22	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	23	distance	distance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	24	between	between	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	25	s	s	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	26	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	27	t	t	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	28	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	29	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	30	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	31	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	32	length	length	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	33	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	34	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	35	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	36	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	37	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	38	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	39	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	60	40	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	61	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	61	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	61	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	61	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	61	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	61	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	61	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	10	3/23	3/23	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	11	https://dx.doi.org/10.6084/m9.figshare.4542405	https://dx.doi.org/10.6084/m9.figshare.4542405	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	12	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	14	connecting	connect	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	15	s	s	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	16	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	17	t.	t.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	18	sst	sst	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	19	denotes	denote	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	20	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	21	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	22	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	23	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	24	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	25	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	26	s	s	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	27	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	28	t.	t.	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	29	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	30	accordance	accordance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	31	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	32	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	33	definitions	definition	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	34	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	35	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	36	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	37	d(s	d(s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	38	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	39	s	s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	40	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	41	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	42	0	0	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	43	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	44	sss	sss	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	45	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	46	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	47	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	48	d(s	d(s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	49	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	50	t	t	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	51	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	52	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	53	d(t	d(t	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	54	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	55	s	s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	56	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	57	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	58	sst	sst	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	59	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	60	sts	st	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	61	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	62	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	63	undirected	undirected	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	64	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	62	65	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	1	sst(v	sst(v	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	2	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	3	denotes	denote	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	5	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	6	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	7	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	8	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	9	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	10	s	s	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	11	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	12	t	t	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	13	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	14	include	include	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	15	v.	v.	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	16	Based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	17	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	18	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	19	definitions	definition	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	20	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	21	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	22	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	23	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	24	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	25	defined	define	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	26	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	27	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	28	CBðvÞ¼	CBðvÞ¼	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	29	X	X	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	30	s	s	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	31	6¼v	6¼v	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	32	6¼t2V	6¼t2v	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	33	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	34	stðvÞ	stðvÞ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	35	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	36	st	st	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	37	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	38	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	39	1	1	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	40	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	41	From	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	42	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	43	above	above	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	44	definitions	definition	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	45	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	46	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	47	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	48	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	49	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	50	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	51	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	52	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	53	naturally	naturally	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	54	separated	separate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	55	into	into	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	56	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	57	following	follow	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	58	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	59	steps	step	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	60	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	61	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	63	62	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	1	Compute	Compute	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	2	d(s	d(s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	4	t	t	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	5	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	6	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	7	sst	sst	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	8	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	9	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	10	node	node	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	11	pairs	pair	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	12	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	13	s	s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	15	t	t	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	16	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	64	17	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	65	1	2	2	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	65	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	66	1	Sum	sum	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	66	2	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	66	3	pair	pair	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	66	4	dependencies	dependency	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	66	5	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	67	1	Here	here	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	67	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	67	3	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	67	4	pair	pair	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	67	5	dependency	dependency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	67	6	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	67	7	defined	define	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	67	8	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	67	9	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	67	10	stðvÞ¼	stðvÞ¼	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	67	11	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	67	12	stðvÞ	stðvÞ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	67	13	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	67	14	st	st	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	67	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	2	time	time	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	3	complexity	complexity	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	6	first	first	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	7	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	8	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	9	O(mn	o(mn	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	10	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	11	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	12	O(mn	o(mn	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	13	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	14	n	n	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	15	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	16	log	log	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	17	n	n	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	18	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	19	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	20	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	21	unweighted	unweighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	22	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	23	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	24	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	25	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	26	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	27	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	28	respectively	respectively	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	29	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	30	therefore	therefore	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	31	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	32	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	33	bottleneck	bottleneck	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	34	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	35	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	36	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	37	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	38	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	39	second	second	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	40	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	41	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	42	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	43	has	have	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	44	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	45	time	time	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	46	complexity	complexity	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	47	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	48	O(n	o(n	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	49	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	50	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	68	51	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	1	Brandes	brande	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	2	developed	develop	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	3	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	4	more	more	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	5	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	6	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	7	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	8	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	9	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	10	time	time	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	11	complexity	complexity	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	12	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	13	O(mn	o(mn	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	14	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	15	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	16	unweighted	unweighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	17	graphs	graph	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	18	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	19	O(mn	o(mn	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	20	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	21	n	n	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	22	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	23	log	log	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	24	n	n	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	25	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	26	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	27	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	28	graphs	graph	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	69	29	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	2	critical	critical	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	3	point	point	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	4	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	5	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	7	dependency	dependency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	8	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	9	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	10	node	node	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	11	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	12	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	13	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	14	source	source	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	15	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	16	s	s	POS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	17	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	18	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	19	sðvÞ¼	sðvÞ¼	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	20	P	P	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	21	u	u	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	22	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	23	v2PsðuÞ	v2psðuþ	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	24	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	25	sv	sv	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	26	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	27	su	su	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	28	ð1þ	ð1þ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	29	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	30	sðuÞÞ	sðuþþ	ADD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	70	31	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	1	By	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	2	applying	apply	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	3	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	4	equation	equation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	6	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	7	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	8	accumulate	accumulate	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	10	dependencies	dependency	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	11	after	after	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	12	computing	compute	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	14	distances	distance	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	15	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	16	numbers	number	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	17	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	18	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	19	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	20	only	only	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	21	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	22	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	23	source	source	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	24	vertex	vertex	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	25	s	s	POS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	26	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	27	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	28	other	other	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	29	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	30	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	31	rather	rather	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	32	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	33	after	after	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	34	computing	compute	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	35	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	36	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	37	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	38	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	39	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	40	pairs	pair	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	71	41	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	2	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	3	easily	easily	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	4	develop	develop	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	5	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	6	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	7	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	8	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	10	Brandes	Brandes	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	11	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	12	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	13	unweighted	unweighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	14	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	15	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	16	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	17	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	18	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	19	always	always	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	20	traversed	traverse	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	21	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	22	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	23	tree	tree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	24	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	25	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	26	BFS	BFS	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	27	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	72	28	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	1	Given	give	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	2	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	3	source	source	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	4	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	5	s	s	POS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	8	root	root	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	9	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	11	tree	tree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	12	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	13	s	s	POS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	15	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	16	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	17	tree	tree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	18	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	19	produced	produce	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	20	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	21	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	22	BFS	BFS	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	23	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	24	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	25	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	26	first	first	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	27	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	73	28	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	3	second	second	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	4	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	6	dependencies	dependency	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	7	related	relate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	8	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	10	source	source	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	11	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	12	s	s	POS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	13	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	14	calculated	calculate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	15	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	16	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	17	leaves	leave	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	18	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	19	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	20	root	root	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	21	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	22	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	23	tree	tree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	24	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	25	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	26	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	27	at	at	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	28	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	29	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	30	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	31	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	32	isolated	isolate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	33	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	34	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	35	no	no	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	36	influence	influence	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	37	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	38	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	39	other	other	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	74	40	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	1	As	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	2	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	3	result	result	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	6	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	7	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	8	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	10	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	11	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	12	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	13	explore	explore	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	14	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	15	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	16	at	at	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	18	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	19	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	20	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	21	both	both	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	22	steps	step	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	24	thereby	thereby	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	25	fundamentally	fundamentally	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	26	accelerating	accelerate	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	27	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	28	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	29	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	75	30	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	1	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	2	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	3	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	4	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	5	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	6	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	7	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	9	1959	1959	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	10	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	11	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	12	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	13	Floyd	Floyd	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	14	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	15	Warshall	Warshall	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	16	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	17	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	18	Floyd	Floyd	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	19	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	20	1962	1962	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	21	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	22	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	23	commonly	commonly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	24	employed	employ	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	25	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	26	solve	solve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	27	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	28	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	29	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	30	problems	problem	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	76	31	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	2	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	3	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	4	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	5	more	more	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	6	easily	easily	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	7	adaptable	adaptable	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	8	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	10	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	11	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	12	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	14	Brandes	Brandes	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	15	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	16	accumulates	accumulate	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	17	dependencies	dependency	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	18	after	after	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	19	computing	compute	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	20	SSSPs	SSSPs	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	21	rather	rather	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	22	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	23	after	after	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	24	finding	find	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	25	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	26	storing	store	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	27	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	28	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	29	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	30	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	31	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	32	pairs	pair	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	77	33	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	78	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	78	2	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	78	3	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	78	4	applies	apply	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	78	5	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	78	6	greedy	greedy	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	78	7	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	78	8	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	78	9	solve	solve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	78	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	78	11	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	78	12	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	78	13	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	3	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	6	source	source	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	7	node	node	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	8	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	9	s	s	POS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	11	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	12	once	once	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	14	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	15	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	16	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	17	s	s	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	18	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	19	another	another	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	20	node	node	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	21	u	u	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	22	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	23	found	find	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	24	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	25	u	u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	26	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	27	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	28	settled	settle	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	79	29	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	1	As	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	2	seen	see	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	3	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	4	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	5	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	7	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	8	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	9	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	10	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	11	G	g	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	12	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	13	separated	separate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	14	into	into	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	15	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	16	sets	set	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	17	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	19	settled	settled	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	20	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	21	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	22	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	23	unsettled	unsettled	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	24	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	80	25	Q.	Q.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	81	1	An	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	81	2	array	array	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	81	3	D	d	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	81	4	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	81	5	used	use	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	81	6	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	81	7	store	store	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	81	8	tentative	tentative	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	81	9	distances	distance	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	81	10	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	81	11	s	s	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	81	12	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	81	13	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	81	14	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	81	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	1	Initially	initially	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	3	Q	q	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	4	stores	store	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	5	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	6	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	8	D(s	d(s	ADD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	9	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	10	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	11	0	0	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	13	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	14	D(u	d(u	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	15	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	16	=	=	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	17	∞	∞	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	18	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	19	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	20	other	other	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	21	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	22	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	23	lines	line	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	24	1–5	1–5	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	25	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	82	26	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	83	1	During	during	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	83	2	iteration	iteration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	83	3	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	83	4	lines	line	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	83	5	6–9	6–9	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	83	6	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	83	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	83	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	83	9	node	node	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	83	10	u	u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	83	11	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	83	12	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	83	13	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	83	14	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	83	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	84	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	84	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	84	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	84	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	84	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	84	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	84	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	10	4/23	4/23	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	11	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	14	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	15	tentative	tentative	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	16	distance	distance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	17	D[u	D[u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	18	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	19	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	20	denoted	denote	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	21	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	22	Extract_Min(Q	Extract_Min(Q	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	23	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	24	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	25	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	26	selected	select	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	27	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	28	settled	settle	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	29	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	30	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	31	means	mean	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	32	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	33	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	34	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	35	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	36	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	37	node	node	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	38	u	u	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	39	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	40	found	find	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	41	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	42	D[u	d[u	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	43	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	44	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	45	set	set	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	46	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	47	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	48	corresponding	corresponding	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	49	value	value	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	85	50	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	1	Then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	3	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	4	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	5	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	6	v	v	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	7	∈	∈	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	8	neighbors(u	neighbors(u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	9	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	11	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	12	D[u	D[u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	13	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	14	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	15	w(u	w(u	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	17	v	v	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	18	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	19	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	20	D[v	D[v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	21	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	22	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	23	D[v	D[v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	24	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	25	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	26	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	27	updated	update	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	28	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	29	D[u	D[u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	30	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	31	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	32	w(u	w(u	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	33	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	34	v	v	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	35	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	86	36	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	2	above	above	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	3	procedures	procedure	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	5	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	6	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	7	one	one	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	8	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	9	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	10	settled	settle	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	11	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	12	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	13	tentative	tentative	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	14	distances	distance	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	15	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	16	its	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	17	neighbors	neighbor	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	18	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	19	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	20	updated	update	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	21	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	22	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	23	repeated	repeat	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	24	until	until	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	25	Q	Q	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	26	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	27	empty	empty	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	28	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	29	i.e.	i.e.	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	30	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	31	until	until	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	32	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	33	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	34	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	35	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	36	G	g	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	37	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	38	been	be	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	39	settled	settle	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	87	40	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	1	According	accord	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	2	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	4	above	above	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	5	description	description	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	8	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	9	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	10	has	have	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	11	no	no	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	12	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	13	characteristics	characteristic	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	14	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	15	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	16	selects	select	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	17	one	one	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	18	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	19	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	20	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	21	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	22	iteration	iteration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	88	23	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	3	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	4	restriction	restriction	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	5	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	6	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	7	loosened	loosen	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	8	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	9	allow	allow	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	10	several	several	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	11	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	12	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	13	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	14	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	15	explored	explore	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	16	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	17	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	18	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	19	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	20	manner	manner	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	21	similar	similar	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	22	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	23	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	24	BFS	BFS	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	25	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	26	approach	approach	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	89	27	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	1	RELATED	related	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	2	WORK	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	3	Graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	4	traversal	traversal	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	5	strategies	strategy	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	6	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	7	unweighted	unweighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	8	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	11	Brandes	Brandes	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	12	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	13	applies	apply	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	14	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	15	traditional	traditional	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	16	BFS	BFS	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	17	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	18	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	19	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	20	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	21	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	22	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	23	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	90	24	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	2	BFS	BFS	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	3	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	4	produces	produce	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	5	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	6	traversal	traversal	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	7	tree	tree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	9	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	10	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	11	later	later	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	12	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	13	used	use	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	14	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	16	dependency	dependency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	17	accumulation	accumulation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	18	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	91	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	1	This	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	2	behavior	behavior	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	3	makes	make	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	4	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	5	easy	easy	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	6	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	7	parallelize	parallelize	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	8	both	both	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	9	steps	step	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	10	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	12	unweighted	unweighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	13	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	14	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	15	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	16	i.e.	i.e.	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	17	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	18	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	19	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	20	assigned	assign	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	21	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	22	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	23	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	24	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	25	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	26	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	27	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	28	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	29	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	30	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	31	vertex	vertex	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	32	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	33	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	34	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	35	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	36	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	37	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	38	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	39	relevant	relevant	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	40	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	41	traverses	traverse	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	42	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	43	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	44	connected	connect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	45	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	46	that	that	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	47	vertex	vertex	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	92	48	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	93	1	Jia	Jia	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	93	2	et	et	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	93	3	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	93	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	2	2011	2011	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	4	implemented	implement	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	5	their	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	6	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	7	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	8	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	9	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	10	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	11	node	node	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	12	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	13	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	14	traversal	traversal	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	15	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	94	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	3	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	4	simple	simple	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	5	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	6	induces	induce	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	7	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	8	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	9	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	10	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	11	imbalance	imbalance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	12	since	since	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	14	degrees	degree	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	15	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	16	different	different	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	17	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	18	varies	vary	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	19	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	20	especially	especially	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	21	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	22	scale	scale	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	23	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	24	free	free	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	25	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	95	26	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	1	Threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	2	processing	process	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	3	low	low	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	4	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	5	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	6	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	7	must	must	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	8	wait	wait	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	9	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	10	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	11	processing	process	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	12	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	13	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	14	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	15	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	17	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	18	significantly	significantly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	19	slows	slow	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	20	down	down	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	21	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	22	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	96	23	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	97	1	Instead	instead	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	97	2	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	97	3	assigning	assigning	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	97	4	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	97	5	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	97	6	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	97	7	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	97	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	97	9	Jia	Jia	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	97	10	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	97	11	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	97	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	2	2011	2011	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	4	proposed	propose	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	5	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	6	edge	edge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	7	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	8	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	9	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	10	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	11	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	12	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	13	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	14	assigned	assign	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	15	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	16	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	17	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	18	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	19	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	20	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	21	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	22	connected	connect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	23	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	24	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	25	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	26	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	27	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	28	inspected	inspect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	98	29	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	99	1	This	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	99	2	technique	technique	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	99	3	eliminates	eliminate	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	99	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	99	5	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	99	6	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	99	7	imbalance	imbalance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	99	8	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	99	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	100	1	Jia	Jia	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	100	2	et	et	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	100	3	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	100	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	101	1	applied	apply	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	101	2	both	both	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	101	3	coarse	coarse	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	101	4	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	101	5	grained	grained	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	101	6	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	101	7	fine-	fine-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	101	8	grained	grained	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	101	9	parallelism	parallelism	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	101	10	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	2	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	3	modern	modern	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	4	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	7	kernel	kernel	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	8	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	9	employ	employ	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	10	multiple	multiple	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	11	blocks	block	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	13	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	14	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	15	block	block	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	16	contains	contain	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	17	multiple	multiple	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	18	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	102	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	2	their	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	3	program	program	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	6	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	7	employs	employ	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	8	multiple	multiple	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	9	blocks	block	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	11	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	12	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	13	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	14	focuses	focus	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	15	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	16	one	one	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	17	root	root	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	18	vertex	vertex	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	19	s	s	POS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	20	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	21	coarse	coarse	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	22	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	23	grained	grain	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	24	parallelism	parallelism	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	25	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	103	26	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	2	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	3	within	within	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	4	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	5	block	block	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	6	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	7	cooperatively	cooperatively	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	8	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	9	traverse	traverse	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	11	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	12	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	13	both	both	PDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	14	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	15	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	16	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	17	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	19	dependency	dependency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	20	accumulation	accumulation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	21	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	22	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	23	fine	fine	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	24	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	25	grained	grain	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	26	parallelism	parallelism	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	27	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	104	28	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	105	1	As	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	105	2	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	105	3	result	result	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	105	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	105	5	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	105	6	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	105	7	block	block	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	105	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	105	9	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	105	10	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	105	11	Sequential	Sequential	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	105	12	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	105	13	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	105	14	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	1	1	1	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	3	Q	q	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	4	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	5	empty	empty	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	6	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	7	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	8	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	9	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	10	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	11	∈	∈	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	12	V	V	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	13	do	do	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	14	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	15	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	16	D[v	d[v	ADD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	17	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	18	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	19	∞	∞	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	20	4	4	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	21	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	22	add	add	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	23	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	24	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	25	Q	q	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	26	5	5	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	27	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	28	D[s	d[s	ADD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	29	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	30	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	31	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	32	6	6	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	33	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	34	while	while	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	35	Q	Q	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	36	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	37	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	38	empty	empty	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	39	do	do	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	40	7	7	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	41	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	42	u	u	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	43	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	44	Extract_Min(Q	Extract_Min(Q	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	45	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	46	8	8	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	47	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	48	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	49	v	v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	50	∈	∈	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	51	neighbors(u	neighbors(u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	52	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	53	do	do	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	54	9	9	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	55	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	56	D[v	d[v	ADD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	57	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	58	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	59	D[u	D[u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	60	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	61	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	62	weightuv	weightuv	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	63	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	64	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	65	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	106	66	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	107	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	107	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	107	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	107	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	107	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	107	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	107	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	10	5/23	5/23	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	11	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	14	dependencies	dependency	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	15	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	16	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	17	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	18	related	relate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	19	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	20	s	s	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	21	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	22	covered	cover	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	108	23	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	2	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	3	vertex	vertex	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	4	w	w	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	7	dependency	dependency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	8	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	10	root	root	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	11	vertex	vertex	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	12	s	s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	13	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	14	denoted	denote	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	15	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	16	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	17	s[w	s[w	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	18	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	109	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	1	Based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	2	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	4	Brandes	Brandes	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	5	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	8	betweenness	betweenness	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	9	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	10	w	w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	11	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	12	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	13	calculated	calculate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	14	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	15	P	p	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	16	s	s	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	17	6¼w2V	6¼w2v	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	18	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	19	s½w	s½w	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	20	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	110	21	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	1	Work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	2	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	3	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	4	technique	technique	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	5	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	7	edge-	edge-	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	8	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	9	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	10	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	11	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	12	strategies	strategy	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	14	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	15	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	16	assigned	assign	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	17	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	18	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	19	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	20	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	21	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	22	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	23	respectively	respectively	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	24	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	25	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	26	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	27	algorithm	algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	28	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	29	checks	check	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	30	whether	whether	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	31	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	32	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	33	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	34	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	35	need	need	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	36	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	37	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	38	inspected	inspect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	39	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	40	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	41	incurs	incur	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	42	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	43	considerable	considerable	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	44	unnecessary	unnecessary	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	45	cost	cost	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	46	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	47	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	48	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	49	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	50	might	may	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	51	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	52	small	small	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	53	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	54	size	size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	55	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	56	especially	especially	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	57	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	58	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	59	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	60	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	61	diameters	diameter	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	111	62	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	1	To	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	2	address	address	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	3	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	4	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	6	McLaughlin	McLaughlin	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	7	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	8	Bader	Bader	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	9	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	10	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	12	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	13	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	14	proposed	propose	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	15	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	16	excellent	excellent	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	17	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	18	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	19	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	20	technique	technique	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	112	21	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	3	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	5	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	6	queue	queue	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	7	Qcurr	Qcurr	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	8	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	9	stores	store	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	11	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	12	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	13	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	14	maintained	maintain	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	16	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	17	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	18	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	19	assigned	assign	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	20	only	only	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	21	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	22	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	23	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	24	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	25	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	26	Qcurr	Qcurr	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	113	27	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	114	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	114	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	114	3	BFS	BFS	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	114	4	procedure	procedure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	114	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	114	6	new	new	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	114	7	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	114	8	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	114	9	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	114	10	added	add	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	114	11	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	114	12	Qnext	Qnext	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	114	13	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	1	After	after	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	3	BFS	BFS	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	4	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	7	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	8	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	9	Qnext	Qnext	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	10	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	11	transferred	transfer	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	12	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	13	Qcurr	Qcurr	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	15	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	16	Qnext	Qnext	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	17	becomes	become	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	18	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	19	empty	empty	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	20	queue	queue	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	115	21	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	1	To	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	2	implement	implement	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	3	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	4	technique	technique	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	6	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	7	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	8	necessary	necessary	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	9	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	10	know	know	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	12	lengths	length	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	13	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	14	both	both	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	15	queues	queue	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	16	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	17	Qcurr_len	qcurr_len	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	18	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	19	Qnext_len	qnext_len	ADD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	20	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	21	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	22	Qcurr	Qcurr	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	23	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	24	Qnext	Qnext	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	25	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	26	implemented	implement	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	27	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	28	arrays	array	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	29	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	30	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	31	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	32	kernel	kernel	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	33	code	code	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	116	34	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	3	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	4	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	5	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	6	proposed	propose	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	7	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	8	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	9	paper	paper	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	11	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	12	develop	develop	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	13	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	14	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	15	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	16	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	17	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	18	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	19	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	20	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	21	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	22	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	23	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	24	idea	idea	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	117	25	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	2	issue	issue	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	3	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	4	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	5	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	6	imbalance	imbalance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	7	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	8	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	10	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	11	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	12	still	still	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	13	suffers	suffer	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	14	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	16	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	17	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	18	imbalance	imbalance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	19	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	20	since	since	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	21	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	22	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	23	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	24	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	25	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	26	node	node	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	27	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	28	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	29	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	118	30	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	2	addition	addition	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	3	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	5	edge	edge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	6	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	7	parallel	parallel	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	8	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	10	other	other	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	11	techniques	technique	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	12	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	13	also	also	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	14	been	be	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	15	developed	develop	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	16	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	17	solve	solve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	18	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	19	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	20	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	21	Davidson	Davidson	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	22	et	et	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	23	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	24	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	25	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	26	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	27	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	28	Hong	Hong	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	29	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	30	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	31	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	32	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	33	2011	2011	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	34	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	119	35	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	120	1	Hong	Hong	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	120	2	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	120	3	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	120	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	1	proposed	propose	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	3	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	4	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	5	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	6	concept	concept	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	8	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	9	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	10	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	11	warp	warp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	12	rather	rather	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	13	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	14	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	15	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	16	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	17	allocated	allocate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	18	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	19	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	20	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	121	21	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	3	modern	modern	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	4	CUDA	CUDA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	5	framework	framework	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	7	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	8	warp	warp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	9	consists	consist	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	10	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	11	32	32	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	12	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	14	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	15	act	act	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	16	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	17	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	18	single	single	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	19	instruction	instruction	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	20	multiple	multiple	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	21	data	datum	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	22	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	23	SIMD	SIMD	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	24	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	25	unit	unit	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	122	26	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	1	Because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	2	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	3	group	group	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	5	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	6	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	7	assigned	assign	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	8	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	9	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	10	single	single	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	11	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	12	vertex	vertex	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	14	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	15	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	16	processes	process	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	17	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	18	subset	subset	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	19	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	20	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	21	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	22	connected	connect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	23	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	24	that	that	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	25	vertex	vertex	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	123	26	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	1	As	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	2	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	3	result	result	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	5	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	6	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	7	does	do	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	8	less	less	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	9	work	work	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	10	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	11	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	12	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	13	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	14	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	16	thereby	thereby	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	17	greatly	greatly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	18	reducing	reduce	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	19	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	20	waiting	wait	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	21	time	time	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	124	22	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	1	Other	other	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	2	techniques	technique	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	3	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	4	addressing	address	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	6	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	7	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	8	imbalance	imbalance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	9	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	10	include	include	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	11	Cooperative	Cooperative	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	12	Blocks	Blocks	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	14	CTA	cta	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	15	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	16	Warp	warp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	17	+	+	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	18	Scan	scan	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	19	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	20	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	21	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	22	balanced	balanced	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	23	partitioning	partitioning	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	24	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	25	Davidson	Davidson	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	26	et	et	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	27	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	28	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	29	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	30	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	31	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	32	Wang	Wang	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	33	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	34	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	35	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	36	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	37	2016	2016	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	38	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	125	39	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	1	These	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	2	methods	method	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	3	attempt	attempt	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	4	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	5	assign	assign	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	6	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	7	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	8	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	9	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	10	need	need	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	11	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	12	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	13	inspected	inspect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	14	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	15	means	mean	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	16	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	18	design	design	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	19	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	20	several	several	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	21	novel	novel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	22	data	datum	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	23	structures	structure	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	24	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	25	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	26	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	27	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	28	ensure	ensure	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	29	excellent	excellent	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	30	within	within	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	31	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	32	block	block	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	33	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	34	interblock	interblock	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	35	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	36	balance	balance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	126	37	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	3	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	4	techniques	technique	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	5	require	require	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	6	blocks	block	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	7	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	8	work	work	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	9	cooperatively	cooperatively	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	10	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	11	i.e.	i.e.	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	13	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	14	block	block	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	15	must	must	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	16	process	process	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	17	several	several	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	18	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	19	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	20	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	127	21	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	128	1	Our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	128	2	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	128	3	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	128	4	applies	apply	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	128	5	both	both	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	128	6	coarse	coarse	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	128	7	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	128	8	grained	grained	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	128	9	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	128	10	fine	fine	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	128	11	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	128	12	grained	grain	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	128	13	approaches	approach	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	128	14	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	3	reason	reason	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	5	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	6	apply	apply	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	8	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	10	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	11	technique	technique	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	12	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	13	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	14	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	15	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	16	address	address	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	18	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	19	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	20	imbalance	imbalance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	21	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	129	22	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	1	Parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	2	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	3	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	4	To	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	5	compute	compute	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	7	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	8	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	9	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	10	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	11	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	13	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	14	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	15	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	16	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	17	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	18	applied	apply	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	19	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	20	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	21	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	22	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	23	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	24	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	130	25	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	2	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	3	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	6	traditional	traditional	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	7	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	8	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	9	solving	solve	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	10	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	11	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	13	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	14	inherently	inherently	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	15	sequential	sequential	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	16	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	17	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	18	selects	select	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	19	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	20	single	single	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	21	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	22	vertex	vertex	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	23	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	24	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	25	iteration	iteration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	131	26	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	2	Bellman	Bellman	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	3	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	4	Ford	Ford	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	5	algorithm	algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	6	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	7	easier	easy	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	8	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	9	parallelize	parallelize	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	11	but	but	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	12	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	13	suffers	suffer	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	14	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	15	rather	rather	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	16	low	low	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	17	efficiency	efficiency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	18	compared	compare	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	19	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	20	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	21	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	22	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	132	23	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	133	1	Martin	Martin	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	133	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	133	3	Torres	Torres	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	133	4	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	133	5	Gavilanes	Gavilanes	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	133	6	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	133	7	2009	2009	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	133	8	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	133	9	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	133	10	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	133	11	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	133	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	134	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	134	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	134	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	134	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	134	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	134	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	134	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	10	6/23	6/23	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	11	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	13	proposed	propose	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	14	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	15	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	16	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	17	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	18	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	19	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	20	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	21	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	22	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	23	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	24	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	25	minimum	minimum	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	26	tentative	tentative	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	27	distance	distance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	28	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	29	inserted	insert	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	30	into	into	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	31	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	32	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	33	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	34	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	35	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	36	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	37	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	38	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	39	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	40	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	41	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	42	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	43	processed	process	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	44	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	135	45	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	136	1	Ortega	Ortega	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	136	2	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	136	3	Arranz	Arranz	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	136	4	et	et	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	136	5	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	136	6	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	137	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	137	2	2013	2013	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	137	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	137	4	implemented	implement	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	137	5	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	137	6	more	more	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	137	7	aggressive	aggressive	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	137	8	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	137	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	1	They	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	2	loosened	loosen	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	4	condition	condition	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	5	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	6	selecting	select	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	7	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	8	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	10	resulting	result	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	11	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	12	more	more	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	13	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	14	one	one	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	15	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	16	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	17	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	18	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	19	iteration	iteration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	20	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	21	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	22	achieve	achieve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	23	higher	high	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	24	parallelism	parallelism	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	138	25	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	1	d	d	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	2	-	-	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	3	Stepping	stepping	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	4	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	5	another	another	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	6	frequently	frequently	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	7	employed	employ	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	8	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	9	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	10	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	12	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	13	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	14	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	15	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	16	grouped	group	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	17	into	into	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	18	buckets	bucket	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	19	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	20	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	21	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	22	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	23	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	24	bucket	bucket	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	25	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	26	processed	process	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	27	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	139	28	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	140	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	140	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	140	3	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	140	4	described	describe	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	140	5	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	140	6	Davidson	Davidson	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	140	7	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	140	8	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	140	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	2	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	5	there	there	EX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	6	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	7	three	three	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	8	main	main	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	9	characteristics	characteristic	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	10	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	11	make	make	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	12	�	�	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	13	-stepping	-stepping	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	14	difficult	difficult	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	15	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	16	implement	implement	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	17	efficiently	efficiently	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	18	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	19	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	20	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	21	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	22	e.g.	e.g.	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	24	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	25	requires	require	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	26	dynamic	dynamic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	27	arrays	array	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	28	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	29	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	30	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	31	poorly	poorly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	32	supported	support	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	33	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	34	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	35	CUDA	CUDA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	36	framework	framework	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	141	37	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	142	1	Because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	142	2	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	142	3	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	142	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	142	5	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	142	6	base	base	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	142	7	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	142	8	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	142	9	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	142	10	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	142	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	142	12	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	142	13	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	142	14	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	142	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	3	previous	previous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	4	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	5	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	6	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	7	focused	focus	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	8	only	only	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	9	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	11	values	value	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	12	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	14	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	15	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	17	neglecting	neglect	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	19	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	20	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	21	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	22	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	24	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	25	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	26	also	also	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	27	necessary	necessary	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	28	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	29	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	30	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	31	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	143	32	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	3	paper	paper	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	5	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	6	modify	modify	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	8	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	9	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	10	algorithm	algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	11	presented	present	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	12	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	13	Ortega	Ortega	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	14	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	15	Arranz	Arranz	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	16	et	et	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	17	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	144	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	145	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	145	2	2013	2013	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	145	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	145	4	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	145	5	combine	combine	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	145	6	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	145	7	smoothly	smoothly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	145	8	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	145	9	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	145	10	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	145	11	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	145	12	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	145	13	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	145	14	graphs	graph	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	145	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	1	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	2	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	3	BASED	based	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	4	ALGORITHM	ALGORITHM	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	5	Our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	6	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	7	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	8	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	9	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	10	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	11	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	12	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	13	graphs	graphs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	14	applies	apply	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	15	both	both	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	16	coarse	coarse	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	17	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	18	grained	grained	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	19	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	20	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	21	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	22	one	one	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	23	block	block	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	24	processes	process	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	25	one	one	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	26	root	root	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	27	vertex	vertex	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	28	s	s	POS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	29	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	30	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	31	fine	fine	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	32	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	33	grained	grain	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	34	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	35	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	36	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	37	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	38	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	39	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	40	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	41	block	block	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	42	compute	compute	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	43	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	44	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	45	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	46	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	47	dependencies	dependency	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	48	related	relate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	49	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	50	s	s	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	51	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	52	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	53	strategies	strategy	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	146	54	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	2	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	3	block	block	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	6	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	7	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	8	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	9	dependencies	dependency	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	10	corresponding	correspond	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	11	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	12	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	13	root	root	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	14	vertex	vertex	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	15	processed	process	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	16	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	17	that	that	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	18	block	block	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	19	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	20	calculated	calculate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	21	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	22	Brandes	Brandes	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	23	’s	’s	POS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	24	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	25	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	26	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	27	framework	framework	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	147	28	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	3	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	4	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	5	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	6	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	8	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	9	build	build	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	10	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	11	multi	multi	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	12	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	13	level	level	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	14	structure	structure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	15	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	16	root	root	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	17	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	18	leaves	leave	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	19	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	20	relaxing	relax	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	21	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	22	condition	condition	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	23	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	24	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	25	single	single	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	26	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	27	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	28	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	29	selected	select	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	30	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	31	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	32	iteration	iteration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	33	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	34	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	35	calculating	calculate	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	36	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	37	distances	distance	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	38	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	39	numbers	number	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	40	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	41	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	42	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	43	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	44	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	45	selected	select	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	46	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	47	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	48	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	148	49	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	3	dependency	dependency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	4	accumulation	accumulation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	5	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	8	multi	multi	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	9	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	10	level	level	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	11	structure	structure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	12	built	build	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	13	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	14	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	15	first	first	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	16	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	17	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	18	re	re	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	19	-	-	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	20	employed	employ	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	21	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	22	calculate	calculate	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	23	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	24	dependencies	dependency	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	25	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	26	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	27	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	28	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	29	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	30	leaves	leave	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	31	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	32	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	33	root	root	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	34	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	35	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	36	multi	multi	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	37	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	38	level	level	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	39	structure	structure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	149	40	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	150	1	Calculations	calculation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	150	2	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	150	3	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	150	4	at	at	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	150	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	150	6	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	150	7	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	150	8	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	150	9	performed	perform	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	150	10	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	150	11	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	1	Parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	2	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	3	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	4	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	5	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	6	section	section	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	8	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	9	introduce	introduce	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	11	details	detail	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	12	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	13	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	14	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	15	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	16	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	18	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	19	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	20	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	21	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	22	graphs	graph	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	151	23	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	1	First	first	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	3	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	4	apply	apply	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	6	compressed	compressed	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	7	sparse	sparse	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	8	row	row	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	9	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	10	CSR	CSR	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	11	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	12	format	format	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	14	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	15	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	16	widely	widely	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	17	used	use	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	18	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	19	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	20	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	21	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	22	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	23	store	store	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	24	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	25	input	input	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	26	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	27	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	28	Bell	Bell	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	29	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	30	Garland	Garland	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	31	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	32	2009	2009	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	33	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	34	Davidson	Davidson	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	35	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	36	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	37	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	38	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	39	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	40	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	152	41	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	1	This	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	2	format	format	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	3	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	4	space	space	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	5	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	6	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	7	both	both	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	8	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	9	vertex	vertex	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	10	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	11	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	12	edge	edge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	13	consume	consume	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	14	one	one	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	15	entry	entry	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	17	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	18	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	19	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	20	convenient	convenient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	21	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	22	performing	perform	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	23	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	24	traversal	traversal	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	25	task	task	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	26	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	27	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	28	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	153	29	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	1	Moreover	moreover	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	3	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	4	related	relate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	5	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	7	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	8	vertex	vertex	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	9	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	10	stored	store	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	11	consecutively	consecutively	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	12	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	13	memory	memory	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	15	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	16	makes	make	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	18	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	19	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	20	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	21	technique	technique	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	22	more	more	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	23	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	154	24	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	3	storage	storage	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	5	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	6	graphs	graphs	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	8	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	9	additional	additional	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	10	array	array	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	11	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	12	required	require	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	13	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	14	store	store	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	16	weights	weight	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	17	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	18	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	19	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	155	20	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	156	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	156	2	apply	apply	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	156	3	both	both	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	156	4	coarse	coarse	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	156	5	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	156	6	grained	grained	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	156	7	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	156	8	fine	fine	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	156	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	156	10	grained	grain	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	156	11	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	156	12	strategies	strategy	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	156	13	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	2	pseudo	pseudo	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	3	-	-	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	4	code	code	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	5	presented	present	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	6	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	7	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	8	paper	paper	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	9	describes	describe	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	11	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	12	procedure	procedure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	13	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	14	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	15	within	within	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	16	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	17	block	block	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	157	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	158	1	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	158	2	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	158	3	shows	show	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	158	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	158	5	initialization	initialization	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	158	6	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	158	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	158	8	required	require	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	158	9	variables	variable	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	158	10	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	159	1	U	u	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	159	2	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	159	3	F	F	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	159	4	represent	represent	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	159	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	159	6	unsettled	unsettled	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	159	7	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	159	8	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	159	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	159	10	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	159	11	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	159	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	159	13	respectively	respectively	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	159	14	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	1	v	v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	2	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	3	unsettled	unsettled	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	4	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	5	U[v	U[v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	6	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	7	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	8	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	9	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	10	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	11	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	12	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	13	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	14	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	15	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	160	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	161	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	161	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	161	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	161	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	161	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	161	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	161	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	10	7/23	7/23	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	11	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	13	node	node	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	14	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	15	F[v	F[v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	16	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	17	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	18	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	20	d	d	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	21	represents	represent	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	22	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	23	tentative	tentative	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	24	distance	distance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	25	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	26	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	27	s[v	s[v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	28	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	29	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	30	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	31	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	32	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	33	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	34	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	35	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	36	s	s	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	37	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	38	v.	v.	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	39	d[v	d[v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	40	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	41	stores	store	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	42	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	43	dependencies	dependency	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	44	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	45	v.	v.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	46	lock	lock	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	47	stores	store	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	48	locks	lock	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	49	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	50	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	51	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	52	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	53	avoid	avoid	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	54	race	race	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	55	conditions	condition	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	162	56	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	1	If	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	2	lock[v	lock[v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	3	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	4	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	5	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	7	changing	change	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	8	neither	neither	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	9	s[v	s[v	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	10	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	11	nor	nor	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	12	d[v	d[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	13	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	14	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	15	permitted	permit	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	16	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	17	see	see	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	19	next	next	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	20	section	section	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	21	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	22	details	detail	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	23	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	163	24	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	1	Vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	2	at	at	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	4	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	5	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	6	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	7	consecutively	consecutively	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	8	recorded	record	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	9	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	10	S	S	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	12	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	14	start	start	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	15	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	16	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	17	end	end	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	18	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	19	point	point	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	20	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	21	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	22	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	23	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	24	S	S	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	25	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	26	stored	store	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	27	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	28	ends	end	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	164	29	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	2	other	other	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	3	words	word	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	5	S	s	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	6	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	7	ends	end	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	8	record	record	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	10	levels	level	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	11	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	12	traversal	traversal	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	13	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	14	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	15	CSR	CSR	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	16	format	format	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	17	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	18	they	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	19	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	20	used	use	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	21	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	22	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	23	dependency	dependency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	24	accumulation	accumulation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	25	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	165	26	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	1	As	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	2	seen	see	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	3	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	4	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	5	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	7	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	9	dependency	dependency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	10	accumulation	accumulation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	11	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	13	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	14	obtain	obtain	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	15	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	16	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	17	at	at	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	19	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	20	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	21	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	22	S	S	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	23	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	24	ends	end	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	25	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	26	accumulate	accumulate	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	27	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	28	dependencies	dependency	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	29	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	30	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	31	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	32	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	166	33	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	1	Note	note	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	2	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	3	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	4	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	5	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	7	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	8	assign	assign	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	9	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	10	only	only	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	11	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	12	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	13	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	14	need	need	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	15	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	16	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	17	inspected	inspect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	18	rather	rather	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	19	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	20	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	21	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	22	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	24	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	25	enhances	enhance	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	26	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	27	efficiency	efficiency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	28	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	29	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	30	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	31	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	32	avoiding	avoid	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	33	redundant	redundant	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	34	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	167	35	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	2	update	update	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	4	dependencies	dependency	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	5	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	6	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	7	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	8	line	line	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	9	12	12	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	10	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	11	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	12	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	13	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	14	edge	edge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	15	betweenness	betweenness	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	16	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	17	required	require	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	168	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	1	Parallel	Parallel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	2	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	3	algorithm	algorithm	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	4	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	5	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	6	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	7	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	9	BFS	BFS	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	10	procedure	procedure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	11	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	12	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	13	applied	apply	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	14	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	16	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	17	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	18	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	19	unweighted	unweighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	20	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	21	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	22	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	23	naturally	naturally	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	24	adapted	adapt	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	25	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	26	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	27	sequential	sequential	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	28	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	29	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	30	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	31	located	locate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	32	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	33	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	34	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	35	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	36	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	37	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	38	BFS	BFS	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	39	tree	tree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	40	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	41	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	42	inspected	inspect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	43	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	169	44	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	1	Moreover	moreover	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	3	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	5	dependency	dependency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	6	accumulation	accumulation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	7	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	8	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	9	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	10	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	11	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	13	dependencies	dependency	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	14	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	15	calculated	calculate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	16	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	17	low	low	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	18	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	19	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	20	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	21	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	22	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	23	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	24	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	25	greatest	great	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	26	depths	depth	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	27	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	28	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	29	tree	tree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	30	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	31	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	32	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	33	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	34	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	35	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	36	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	37	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	38	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	39	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	40	close	close	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	41	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	42	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	43	source	source	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	44	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	45	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	46	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	47	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	48	calculations	calculation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	49	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	50	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	51	at	at	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	52	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	53	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	54	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	55	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	56	again	again	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	57	performed	perform	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	58	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	170	59	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	3	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	4	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	6	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	7	multi	multi	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	8	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	9	level	level	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	10	structure	structure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	11	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	12	similarly	similarly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	13	necessary	necessary	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	14	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	16	dependency	dependency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	17	accumulation	accumulation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	18	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	19	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	20	achieve	achieve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	21	parallelization	parallelization	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	171	22	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	172	1	As	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	172	2	seen	see	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	172	3	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	172	4	Fig	Fig	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	172	5	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	1	1A	1a	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	3	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	4	structure	structure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	5	should	should	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	6	satisfy	satisfy	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	8	condition	condition	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	9	∀	∀	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	10	u	u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	11	∈	∈	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	12	Pv	Pv	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	14	lu	lu	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	15	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	16	lv	lv	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	17	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	18	where	where	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	19	li	li	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	20	denotes	denote	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	21	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	22	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	23	BC	bc	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	24	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	25	variable	variable	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	26	initialization	initialization	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	173	27	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	1	1	1	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	3	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	4	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	5	∈	∈	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	6	V	V	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	7	do	do	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	8	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	9	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	10	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	11	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	12	U[v	u[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	13	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	14	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	15	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	16	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	17	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	18	F[v	f[v	ADD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	19	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	20	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	21	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	22	4	4	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	23	:	:	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	24	d[v	d[v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	25	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	26	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	27	∞	∞	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	28	5	5	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	29	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	30	s[v	s[v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	31	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	32	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	33	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	34	6	6	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	35	:	:	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	36	d[v	d[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	37	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	38	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	39	0	0	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	40	7	7	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	41	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	42	lock[v	lock[v	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	43	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	44	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	45	0	0	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	46	8	8	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	47	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	48	ends[v	ends[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	49	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	50	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	51	0	0	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	52	9	9	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	53	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	54	S[v	s[v	ADD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	55	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	56	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	57	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	58	10	10	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	59	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	60	d[s	d[s	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	61	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	62	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	63	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	64	11	11	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	65	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	66	s[s	s[s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	67	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	68	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	69	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	70	12	12	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	71	:	:	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	72	U[s	U[s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	73	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	74	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	75	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	76	13	13	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	77	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	78	F[s	f[s	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	79	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	80	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	81	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	82	14	14	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	83	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	84	S[0	S[0	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	85	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	86	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	87	s	s	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	88	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	89	Slen	Slen	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	90	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	91	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	92	15	15	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	93	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	94	ends[0	ends[0	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	95	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	96	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	97	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	98	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	99	ends[1	ends[1	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	100	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	101	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	102	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	103	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	104	endslen	endslen	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	105	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	106	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	107	16	16	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	108	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	109	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	110	0	0	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	111	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	112	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	113	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	174	114	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	175	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	175	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	175	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	175	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	175	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	175	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	175	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	10	8/23	8/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	11	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	14	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	15	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	16	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	17	i	i	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	18	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	19	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	20	multi	multi	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	21	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	22	level	level	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	23	structure	structure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	24	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	25	Pi	Pi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	26	represents	represent	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	27	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	28	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	29	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	30	predecessors	predecessor	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	31	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	32	vertex	vertex	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	176	33	i.	i.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	1	Previous	previous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	2	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	3	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	4	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	5	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	6	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	7	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	8	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	9	calculated	calculate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	10	only	only	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	12	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	13	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	14	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	15	values	value	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	17	neglecting	neglect	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	19	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	20	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	21	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	22	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	23	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	24	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	25	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	26	relationships	relationship	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	177	27	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	3	paper	paper	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	5	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	6	propose	propose	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	7	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	8	variant	variant	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	9	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	11	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	12	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	13	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	14	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	15	produces	produce	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	16	both	both	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	18	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	19	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	20	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	21	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	22	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	23	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	24	multi	multi	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	25	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	26	level	level	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	27	structure	structure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	28	needed	need	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	29	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	30	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	31	betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	32	algorithm	algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	178	33	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	3	sequential	sequential	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	4	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	5	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	8	fact	fact	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	9	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	10	one	one	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	11	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	12	node	node	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	13	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	14	selected	select	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	15	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	16	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	17	iteration	iteration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	18	makes	make	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	19	parallelization	parallelization	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	20	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	21	difficult	difficult	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	22	task	task	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	179	23	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	3	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	4	restriction	restriction	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	5	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	6	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	7	relaxed	relax	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	9	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	10	means	mean	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	11	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	12	several	several	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	13	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	14	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	15	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	16	settled	settle	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	17	at	at	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	18	once	once	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	19	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	20	form	form	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	21	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	22	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	23	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	24	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	25	allowing	allow	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	26	them	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	27	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	28	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	29	inspected	inspect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	30	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	31	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	32	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	33	next	next	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	34	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	180	35	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	1	Moreover	moreover	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	3	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	4	settled	settle	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	5	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	6	satisfy	satisfy	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	8	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	9	condition	condition	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	11	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	12	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	13	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	14	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	16	they	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	17	form	form	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	18	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	19	new	new	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	20	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	21	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	22	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	23	inspected	inspect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	24	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	25	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	26	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	27	dependency	dependency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	28	accumulation	accumulation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	29	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	181	30	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	3	paper	paper	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	5	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	6	apply	apply	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	8	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	9	described	describe	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	10	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	11	Ortega	Ortega	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	12	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	13	Arranz	Arranz	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	14	et	et	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	15	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	182	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	183	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	183	2	2013	2013	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	183	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	183	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	3	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	5	�	�	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	6	node	node	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	7	v	v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	8	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	9	min(w(v	min(w(v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	11	u	u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	12	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	13	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	14	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	15	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	17	u	u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	18	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	19	∈	∈	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	20	E	E	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	21	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	22	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	23	precomputed	precompute	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	184	24	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	1	Then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	3	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	4	define	define	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	5	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	6	i	i	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	7	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	8	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	9	i	i	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	10	¼	¼	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	11	min	min	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	12	ðDðuÞþ	ðDðuÞþ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	13	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	14	node	node	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	15	uÞ	uþ	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	16	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	17	u	u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	18	2	2	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	19	Uif	Uif	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	20	g	g	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	21	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	22	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	23	2	2	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	24	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	25	where	where	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	26	D(u	d(u	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	27	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	28	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	29	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	30	tentative	tentative	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	31	distance	distance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	32	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	33	node	node	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	34	u	u	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	35	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	36	Ui	Ui	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	37	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	38	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	39	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	40	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	41	unsettled	unsettled	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	42	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	43	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	44	iteration	iteration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	185	45	i.	i.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	1	All	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	2	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	3	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	4	satisfy	satisfy	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	6	condition	condition	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	7	DðvÞ	DðvÞ	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	8	�	�	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	9	�	�	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	10	i	i	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	11	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	12	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	13	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	14	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	15	settled	settle	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	16	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	17	become	become	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	18	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	19	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	186	20	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	1	When	when	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	3	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	4	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	5	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	6	applied	apply	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	7	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	9	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	10	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	12	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	13	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	14	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	15	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	16	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	17	should	should	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	18	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	19	counted	count	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	20	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	21	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	22	predecessor	predecessor	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	23	relationships	relationship	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	24	between	between	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	25	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	26	at	at	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	27	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	28	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	29	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	30	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	31	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	32	permitted	permit	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	33	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	34	otherwise	otherwise	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	35	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	36	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	37	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	38	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	39	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	40	BC	bc	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	41	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	42	Dependency	Dependency	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	43	Accumulation	Accumulation	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	187	44	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	1	1	1	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	3	depth	depth	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	4	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	5	endslen	endslen	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	6	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	7	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	8	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	9	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	10	while	while	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	11	depth	depth	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	12	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	13	0	0	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	14	do	do	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	15	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	16	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	17	start	start	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	18	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	19	ends[depth	ends[depth	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	20	-	-	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	21	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	22	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	23	4	4	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	24	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	25	end	end	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	26	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	27	ends[depth	ends[depth	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	28	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	29	-	-	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	30	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	31	5	5	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	32	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	33	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	34	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	35	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	36	i	i	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	37	�	�	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	38	end	end	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	39	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	40	start	start	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	41	do	do	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	42	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	43	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	44	6	6	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	45	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	46	w	w	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	47	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	48	S[start	s[start	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	49	+	+	UH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	50	i	i	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	51	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	52	7	7	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	53	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	54	dsw	dsw	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	55	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	56	0	0	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	57	8	8	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	58	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	59	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	60	v	v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	61	∈	∈	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	62	neighbors(w	neighbors(w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	63	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	64	do	do	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	65	9	9	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	66	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	67	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	68	d[v	d[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	69	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	70	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	71	d[w	d[w	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	72	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	73	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	74	weightwv	weightwv	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	75	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	76	10	10	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	77	:	:	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	78	c	c	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	79	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	80	s	s	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	81	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	82	w]/s[v	w]/s[v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	83	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	84	∗	∗	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	85	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	86	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	87	+	+	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	88	d[v	d[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	89	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	90	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	91	11	11	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	92	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	93	dsw	dsw	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	94	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	95	dsw	dsw	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	96	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	97	c	c	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	98	12	12	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	99	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	100	atomicAdd(edgeBC[w	atomicAdd(edgeBC[w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	101	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	102	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	103	c	c	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	104	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	105	13	13	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	106	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	107	d[w	d[w	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	108	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	109	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	110	dsw	dsw	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	111	14	14	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	112	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	113	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	114	w	w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	115	s	s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	116	s	s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	117	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	118	15	15	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	119	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	120	atomicAdd(BC[w	atomicAdd(BC[w	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	121	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	122	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	123	d[w	d[w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	124	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	125	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	126	16	16	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	127	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	128	depth	depth	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	129	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	130	depth	depth	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	131	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	132	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	133	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	134	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	135	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	188	136	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	189	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	189	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	189	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	189	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	189	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	189	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	189	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	10	9/23	9/23	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	11	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	13	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	14	would	would	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	15	result	result	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	16	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	17	incorrect	incorrect	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	18	dependencies	dependency	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	190	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	1	To	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	3	end	end	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	6	above	above	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	7	condition	condition	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	8	should	should	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	9	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	10	modified	modify	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	11	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	12	DðvÞ	DðvÞ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	13	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	14	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	15	i	i	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	16	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	17	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	18	4	4	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	19	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	20	Figure	figure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	21	1B	1b	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	22	illustrates	illustrate	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	23	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	24	example	example	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	25	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	26	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	27	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	28	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	29	vertex	vertex	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	30	v0	v0	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	31	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	32	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	33	source	source	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	34	node	node	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	191	35	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	192	1	If	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	192	2	Eq	Eq	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	192	3	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	2	3	3	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	4	were	be	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	5	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	6	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	7	applied	apply	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	9	v1	v1	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	10	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	11	v2	v2	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	12	would	would	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	13	become	become	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	14	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	15	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	16	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	17	after	after	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	19	inspection	inspection	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	20	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	21	v0	v0	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	22	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	23	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	24	first	first	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	25	iteration	iteration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	26	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	27	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	28	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	29	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	30	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	31	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	32	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	33	would	would	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	34	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	35	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	36	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	37	both	both	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	38	v1	v1	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	39	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	40	v2	v2	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	193	41	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	194	1	Then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	194	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	194	3	v1	v1	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	194	4	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	194	5	v2	v2	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	194	6	would	would	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	194	7	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	194	8	inspected	inspect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	194	9	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	194	10	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	194	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	194	12	next	next	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	194	13	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	194	14	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	1	If	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	2	v2	v2	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	3	were	be	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	4	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	5	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	6	processed	process	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	7	first	first	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	10	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	11	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	12	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	13	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	14	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	15	v3	v3	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	16	would	would	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	17	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	18	set	set	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	19	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	20	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	21	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	22	however	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	24	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	25	correct	correct	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	26	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	27	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	28	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	29	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	30	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	31	v3	v3	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	32	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	33	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	195	34	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	196	1	This	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	196	2	mistake	mistake	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	196	3	arises	arise	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	196	4	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	196	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	196	6	overambitious	overambitious	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	196	7	condition	condition	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	196	8	defined	define	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	196	9	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	196	10	Eq	Eq	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	196	11	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	197	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	197	2	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	197	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	197	4	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	197	5	v2	v2	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	197	6	should	should	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	197	7	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	197	8	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	197	9	settled	settle	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	197	10	after	after	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	197	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	197	12	first	first	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	197	13	iteration	iteration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	197	14	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	198	1	Although	although	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	198	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	198	3	distances	distance	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	198	4	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	198	5	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	198	6	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	198	7	would	would	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	198	8	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	198	9	correct	correct	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	198	10	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	198	11	Eq	Eq	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	198	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	199	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	199	2	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	199	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	199	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	199	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	199	6	numbers	number	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	199	7	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	199	8	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	199	9	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	199	10	would	would	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	199	11	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	199	12	wrong	wrong	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	199	13	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	200	1	By	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	200	2	contrast	contrast	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	200	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	200	4	Eq	Eq	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	200	5	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	2	4	4	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	4	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	5	lead	lead	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	6	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	8	correct	correct	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	9	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	10	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	11	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	12	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	13	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	14	v3	v3	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	15	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	16	only	only	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	17	v1	v1	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	18	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	19	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	20	settled	settle	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	21	after	after	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	22	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	23	first	first	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	24	iteration	iteration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	201	25	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	202	1	This	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	202	2	condition	condition	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	202	3	appears	appear	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	202	4	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	202	5	line	line	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	202	6	29	29	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	202	7	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	202	8	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	202	9	4	4	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	202	10	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	203	1	By	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	203	2	applying	apply	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	203	3	Eq	Eq	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	203	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	2	4	4	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	4	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	6	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	7	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	9	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	10	achieve	achieve	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	12	correct	correct	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	13	numbers	number	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	14	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	15	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	16	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	17	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	18	construct	construct	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	19	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	20	multi	multi	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	21	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	22	level	level	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	23	structure	structure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	24	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	25	setting	set	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	26	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	27	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	28	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	29	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	30	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	31	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	32	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	33	new	new	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	34	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	204	35	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	205	1	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	205	2	4	4	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	205	3	presents	present	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	205	4	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	205	5	parallel	parallel	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	205	6	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	205	7	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	205	8	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	205	9	detail	detail	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	205	10	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	2	tentative	tentative	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	3	distance	distance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	4	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	5	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	6	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	7	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	8	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	9	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	10	calculated	calculate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	11	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	12	shown	show	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	13	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	14	lines	line	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	15	2–13	2–13	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	206	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	2	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	3	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	4	vertex	vertex	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	5	v	v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	8	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	9	inspects	inspect	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	10	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	11	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	12	connected	connect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	13	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	14	v.	v.	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	15	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	16	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	17	edge	edge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	18	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	19	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	20	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	21	w	w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	22	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	24	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	25	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	26	finds	find	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	27	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	28	shorter	short	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	29	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	30	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	31	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	32	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	33	i.e.	i.e.	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	34	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	35	d[v	d[v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	36	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	37	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	38	weightvw	weightvw	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	39	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	40	d[w	d[w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	41	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	42	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	43	d[w	d[w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	44	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	45	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	46	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	47	updated	update	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	48	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	49	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	50	s[w	s[w	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	51	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	52	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	53	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	54	set	set	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	55	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	56	zero	zero	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	57	since	since	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	58	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	59	previous	previous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	60	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	61	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	62	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	63	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	64	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	65	invalid	invalid	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	207	66	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	1	Then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	3	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	4	d[w	d[w	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	5	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	6	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	7	d[v	d[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	8	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	9	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	10	weightwv	weightwv	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	12	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	13	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	14	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	15	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	16	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	17	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	18	vertex	vertex	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	19	w	w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	20	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	21	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	22	updated	update	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	23	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	24	s[w	s[w	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	25	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	26	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	27	s[v	s[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	28	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	29	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	30	accordance	accordance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	31	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	32	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	33	Brandes	Brandes	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	34	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	208	35	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	3	way	way	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	5	both	both	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	7	value	value	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	8	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	9	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	10	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	11	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	12	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	13	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	14	calculated	calculate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	15	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	16	stored	store	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	209	17	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	3	part	part	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	6	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	8	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	9	race	race	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	10	condition	condition	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	11	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	12	may	may	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	13	arise	arise	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	14	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	15	multiple	multiple	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	16	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	17	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	19	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	20	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	21	may	may	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	22	connect	connect	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	23	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	24	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	25	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	26	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	27	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	28	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	29	seen	see	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	30	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	31	Figure	figure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	32	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	33	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	34	A	a	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	35	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	36	An	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	37	example	example	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	38	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	39	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	40	multi	multi	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	41	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	42	level	level	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	43	structure	structure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	210	44	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	1	It	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	2	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	3	built	build	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	4	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	6	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	7	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	8	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	9	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	10	later	later	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	11	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	12	used	use	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	13	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	14	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	15	dependency	dependency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	16	accumulation	accumulation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	17	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	211	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	212	1	Nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	212	2	at	at	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	212	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	212	4	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	212	5	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	212	6	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	212	7	inspected	inspect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	212	8	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	212	9	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	212	10	both	both	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	212	11	steps	step	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	212	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	2	B	b	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	4	An	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	5	example	example	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	6	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	8	selection	selection	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	9	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	10	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	11	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	12	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	13	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	14	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	15	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	16	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	17	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	18	Eq	Eq	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	213	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	2	3	3	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	4	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	5	cause	cause	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	7	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	8	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	9	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	10	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	11	calculated	calculate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	12	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	13	v3	v3	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	14	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	15	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	16	incorrect	incorrect	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	214	17	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	215	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	215	2	C	C	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	215	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	215	4	An	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	215	5	example	example	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	215	6	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	215	7	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	215	8	race	race	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	215	9	condition	condition	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	215	10	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	1	v1	v1	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	2	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	3	v2	v2	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	4	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	5	both	both	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	6	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	7	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	8	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	10	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	11	iteration	iteration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	13	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	14	both	both	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	15	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	16	connected	connect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	17	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	18	w.	w.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	19	Full	Full	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	20	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	21	size	size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	22	DOI	doi	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	23	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	24	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	25	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	26	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	27	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	28	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	29	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	30	fig-1	fig-1	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	31	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	32	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	33	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	216	34	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	217	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	217	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	217	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	217	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	217	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	217	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	217	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	218	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	218	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	218	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	218	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	218	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	218	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	218	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	218	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	218	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	218	10	10/23	10/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	218	11	http://dx.doi.org/10.7717/peerj-cs.140/fig-1	http://dx.doi.org/10.7717/peerj-cs.140/fig-1	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	218	12	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	218	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	218	14	Fig	fig	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	218	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	219	1	1C.	1c.	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	3	example	example	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	5	both	both	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	6	v1	v1	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	7	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	8	v2	v2	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	9	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	10	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	12	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	13	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	14	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	15	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	16	connected	connect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	17	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	18	w	w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	19	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	20	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	21	results	result	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	22	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	23	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	24	classical	classical	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	25	race	race	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	26	condition	condition	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	27	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	220	28	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	2	reason	reason	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	3	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	4	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	5	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	6	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	7	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	8	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	9	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	10	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	11	more	more	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	12	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	13	may	may	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	14	attempt	attempt	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	15	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	16	modify	modify	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	17	d[w	d[w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	18	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	19	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	20	s[w	s[w	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	21	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	22	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	221	23	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	222	1	To	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	222	2	avoid	avoid	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	222	3	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	222	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	222	5	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	222	6	define	define	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	222	7	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	222	8	lock	lock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	222	9	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	222	10	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	222	11	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	222	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	2	first	first	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	3	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	4	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	5	focus	focus	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	6	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	7	w	w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	8	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	9	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	10	granted	grant	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	12	lock	lock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	14	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	15	other	other	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	16	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	17	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	18	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	19	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	20	permitted	permit	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	21	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	22	change	change	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	23	d[w	d[w	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	24	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	25	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	26	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	27	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	28	w	w	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	29	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	223	30	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	224	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	224	2	also	also	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	224	3	adopt	adopt	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	224	4	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	224	5	atomic	atomic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	224	6	operation	operation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	224	7	atomicCAS	atomicCAS	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	224	8	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	224	9	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	224	10	variable	variable	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	224	11	needlock	needlock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	224	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	2	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	3	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	5	needlock	needlock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	6	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	7	initially	initially	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	8	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	9	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	10	line	line	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	11	4	4	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	12	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	14	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	16	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	17	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	18	enter	enter	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	19	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	20	following	follow	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	21	iteration	iteration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	225	22	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	1	If	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	2	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	3	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	4	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	5	granted	grant	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	7	lock	lock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	8	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	9	w	w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	11	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	12	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	13	run	run	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	14	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	15	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	16	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	17	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	18	procedure	procedure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	19	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	20	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	21	release	release	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	22	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	23	lock	lock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	24	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	25	line	line	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	26	12	12	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	27	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	28	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	29	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	30	needlock	needlock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	31	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	32	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	33	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	34	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	35	assigned	assign	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	36	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	37	line	line	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	38	13	13	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	39	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	40	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	41	exit	exit	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	42	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	43	loop	loop	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	226	44	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	1	If	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	2	another	another	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	3	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	4	owns	own	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	5	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	6	4	4	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	7	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	8	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	9	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	10	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	11	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	12	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	13	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	14	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	15	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	16	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	227	17	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	1	1	1	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	3	while	while	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	4	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	5	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	6	∞	∞	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	7	do	do	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	8	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	9	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	10	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	11	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	12	∈	∈	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	13	V	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	14	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	15	F[v	f[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	16	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	17	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	18	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	19	do	do	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	20	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	21	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	22	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	23	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	24	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	25	w	w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	26	∈	∈	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	27	neighbors(v	neighbors(v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	28	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	29	do	do	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	30	4	4	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	31	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	32	needlock	needlock	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	33	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	34	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	35	5	5	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	36	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	37	while	while	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	38	needlock	needlock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	39	do	do	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	40	6	6	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	41	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	42	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	43	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	44	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	45	atomicCAS(lock[w],0,1	atomicCAS(lock[w],0,1	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	46	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	47	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	48	7	7	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	49	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	50	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	51	U[w	U[w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	52	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	53	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	54	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	55	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	56	d[v	d[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	57	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	58	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	59	weightvw	weightvw	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	60	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	61	d[w	d[w	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	62	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	63	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	64	8	8	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	65	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	66	d[w	d[w	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	67	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	68	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	69	d[v	d[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	70	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	71	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	72	weightvw	weightvw	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	73	9	9	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	74	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	75	s	s	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	76	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	77	w	w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	78	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	79	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	80	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	81	10	10	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	82	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	83	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	84	d[w	d[w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	85	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	86	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	87	d[v	d[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	88	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	89	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	90	weightvw	weightvw	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	91	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	92	11	11	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	93	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	94	s[w	s[w	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	95	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	96	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	97	s[w	s[w	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	98	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	99	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	100	s[v	s[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	101	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	102	12	12	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	103	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	104	atomicExch(lock	atomicexch(lock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	105	+	+	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	106	w,0	w,0	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	107	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	108	13	13	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	109	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	110	needlock	needlock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	111	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	112	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	113	14	14	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	114	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	115	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	116	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	117	∞	∞	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	118	15	15	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	119	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	120	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	121	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	122	∈	∈	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	123	V	V	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	124	do	do	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	125	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	126	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	127	16	16	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	128	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	129	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	130	U[v	U[v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	131	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	132	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	133	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	134	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	135	d[v	d[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	136	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	137	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	138	∞	∞	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	139	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	140	17	17	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	141	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	142	atomicMin(	atomicMin(	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	143	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	144	,d[v	,d[v	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	145	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	146	+	+	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	147	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	148	node	node	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	149	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	150	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	151	18	18	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	152	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	153	cnt	cnt	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	154	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	155	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	156	19	19	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	157	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	158	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	159	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	160	∈	∈	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	161	V	V	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	162	do	do	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	163	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	164	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	165	20	20	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	166	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	167	F[v	f[v	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	168	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	169	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	170	0	0	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	171	21	21	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	172	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	173	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	174	U[v	U[v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	175	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	176	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	177	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	178	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	179	d[v	d[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	180	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	181	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	182	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	183	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	184	22	22	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	185	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	186	U[v	U[v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	187	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	188	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	189	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	190	23	23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	191	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	192	F[v	f[v	ADD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	193	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	194	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	195	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	196	24	24	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	197	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	198	t	t	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	199	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	200	atomicAdd(Slen,1	atomicadd(slen,1	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	201	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	202	25	25	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	203	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	204	S[t	S[t	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	205	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	206	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	207	v	v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	208	26	26	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	209	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	210	atomicAdd(cnt,1	atomicAdd(cnt,1	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	211	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	212	27	27	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	213	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	214	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	215	cnt	cnt	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	216	>	>	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	217	0	0	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	218	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	219	28	28	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	220	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	221	ends[endslen	ends[endslen	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	222	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	223	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	224	ends[endslen	ends[endslen	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	225	-	-	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	226	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	227	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	228	+	+	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	229	cnt	cnt	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	230	29	29	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	231	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	232	endslen	endslen	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	233	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	234	endslen	endslen	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	235	+	+	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	236	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	237	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	238	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	239	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	228	240	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	229	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	229	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	229	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	229	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	229	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	229	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	229	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	10	11/23	11/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	11	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	14	lock	lock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	16	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	17	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	18	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	19	run	run	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	20	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	21	circulation	circulation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	22	but	but	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	23	do	do	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	24	nothing	nothing	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	25	until	until	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	26	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	27	other	other	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	28	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	29	releases	release	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	30	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	31	lock	lock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	230	32	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	3	way	way	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	5	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	6	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	7	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	8	need	need	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	9	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	10	inspect	inspect	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	11	vertex	vertex	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	12	w	w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	13	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	14	perform	perform	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	16	shortest-	shortest-	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	17	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	18	task	task	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	19	while	while	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	20	avoiding	avoid	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	21	race	race	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	22	conditions	condition	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	231	23	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	2	lock	lock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	3	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	4	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	5	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	6	replaced	replace	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	7	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	8	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	9	atomic	atomic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	10	operation	operation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	11	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	12	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	14	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	15	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	16	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	17	procedure	procedure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	18	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	19	multiple	multiple	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	20	instructions	instruction	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	21	related	relate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	22	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	23	w	w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	24	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	25	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	26	lines	line	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	27	7	7	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	28	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	29	13	13	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	30	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	31	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	32	executed	execute	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	33	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	34	rather	rather	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	35	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	36	only	only	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	37	one	one	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	38	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	39	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	40	they	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	41	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	42	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	43	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	44	interrupted	interrupt	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	45	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	46	other	other	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	47	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	48	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	49	may	may	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	50	modify	modify	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	51	d[w	d[w	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	52	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	53	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	54	s[w	s[w	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	55	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	232	56	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	1	After	after	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	2	d	d	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	3	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	4	s	s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	5	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	6	been	be	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	7	computed	compute	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	8	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	9	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	10	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	12	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	13	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	14	obtain	obtain	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	15	di	di	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	16	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	17	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	19	computed	compute	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	20	results	result	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	21	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	22	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	23	seen	see	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	24	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	25	lines	line	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	26	14–17	14–17	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	233	27	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	1	Finally	finally	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	3	U	U	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	5	F	F	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	7	S	S	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	8	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	9	ends	end	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	10	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	11	updated	update	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	12	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	14	next	next	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	15	iteration	iteration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	234	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	1	Work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	2	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	3	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	4	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	5	As	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	6	seen	see	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	7	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	8	line	line	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	9	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	10	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	11	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	12	4	4	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	14	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	15	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	16	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	17	assigned	assign	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	18	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	19	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	20	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	21	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	22	but	but	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	23	calculations	calculation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	24	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	25	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	26	performed	perform	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	27	only	only	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	28	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	29	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	30	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	31	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	32	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	33	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	34	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	35	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	36	may	may	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	37	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	38	inefficient	inefficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	235	39	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	1	McLaughlin	McLaughlin	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	2	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	3	Bader	Bader	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	4	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	5	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	7	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	8	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	9	developed	develop	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	10	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	11	excellent	excellent	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	12	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	13	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	14	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	15	technique	technique	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	16	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	17	solving	solve	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	18	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	19	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	236	20	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	3	paper	paper	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	5	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	6	develop	develop	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	7	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	8	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	10	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	11	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	12	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	13	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	14	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	15	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	16	adopting	adopt	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	17	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	18	5	5	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	19	Work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	20	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	21	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	22	BC	bc	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	23	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	24	variable	variable	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	25	initialization	initialization	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	237	26	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	1	1	1	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	3	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	4	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	5	∈	∈	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	6	V	V	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	7	do	do	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	8	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	9	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	10	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	11	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	12	//	//	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	13	initialize	initialize	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	14	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	15	variables	variable	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	16	except	except	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	17	F	F	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	18	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	19	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	20	F[0	F[0	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	21	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	22	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	23	s	s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	24	4	4	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	25	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	26	Flen	flen	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	27	=	=	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	28	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	29	5	5	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	30	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	31	//	//	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	32	initialize	initialize	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	33	other	other	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	34	variables	variable	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	35	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	36	6	6	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	37	Work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	38	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	39	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	40	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	41	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	42	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	43	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	44	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	45	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	46	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	47	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	48	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	49	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	238	50	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	1	1	1	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	3	while	while	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	4	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	5	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	6	∞	∞	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	7	do	do	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	8	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	9	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	10	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	11	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	12	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	13	i	i	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	14	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	15	Flen	Flen	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	16	do	do	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	17	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	18	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	19	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	20	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	21	v	v	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	22	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	23	F[i	F[i	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	24	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	25	4	4	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	26	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	27	//	//	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	28	inspect	inspect	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	29	v	v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	30	5	5	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	31	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	32	//	//	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	33	calculate	calculate	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	34	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	35	6	6	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	36	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	37	Flen	flen	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	38	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	39	0	0	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	40	7	7	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	41	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	42	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	43	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	44	∈	∈	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	45	V	V	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	46	do	do	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	47	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	48	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	49	8	8	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	50	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	51	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	52	U[v	U[v	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	53	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	54	=	=	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	55	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	56	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	57	d[v	d[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	58	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	59	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	60	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	61	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	62	9	9	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	63	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	64	U[v	u[v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	65	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	66	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	67	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	68	10	10	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	69	:	:	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	70	t	t	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	71	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	72	atomicAdd(Flen	atomicAdd(Flen	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	73	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	74	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	75	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	76	11	11	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	77	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	78	F[t	F[t	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	79	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	80	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	81	v	v	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	82	12	12	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	83	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	84	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	85	Flen	Flen	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	86	>	>	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	87	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	88	then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	89	13	13	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	90	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	91	ends[end	ends[end	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	92	slen	slen	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	93	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	94	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	95	end	end	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	96	s[end	s[end	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	97	slen	slen	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	98	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	99	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	100	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	101	+	+	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	102	Flen	flen	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	103	14	14	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	104	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	105	end	end	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	106	slen	slen	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	107	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	108	end	end	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	109	slen	slen	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	110	+	+	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	111	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	112	15	15	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	113	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	114	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	115	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	116	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	117	i	i	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	118	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	119	Flen	Flen	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	120	do	do	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	121	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	122	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	123	16	16	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	124	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	125	S[Slen	s[slen	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	126	+	+	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	127	i	i	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	128	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	129	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	130	F[i	F[i	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	131	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	132	17	17	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	133	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	134	Slen	slen	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	135	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	136	Slen	Slen	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	137	+	+	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	138	Flen	Flen	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	139	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	140	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	141	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	239	142	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	240	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	240	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	240	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	240	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	240	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	240	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	240	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	241	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	241	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	241	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	241	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	241	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	241	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	241	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	241	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	241	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	241	10	12/23	12/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	241	11	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	241	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	241	13	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	241	14	idea	idea	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	241	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	1	F	F	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	2	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	3	replaced	replace	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	4	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	5	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	6	queue	queue	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	7	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	8	stores	store	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	9	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	10	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	11	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	13	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	14	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	15	variable	variable	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	16	Flen	Flen	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	17	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	18	defined	define	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	19	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	20	recode	recode	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	21	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	22	length	length	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	23	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	24	F	f	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	25	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	26	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	27	seen	see	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	28	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	29	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	30	5	5	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	242	31	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	1	Then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	3	at	at	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	4	line	line	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	5	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	6	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	7	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	8	6	6	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	10	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	11	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	12	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	13	assigned	assign	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	14	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	15	F[0	F[0	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	16	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	17	∼	∼	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	18	F[Flen	F[Flen	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	19	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	20	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	21	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	22	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	23	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	24	may	may	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	25	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	26	much	much	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	27	smaller	small	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	28	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	29	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	30	total	total	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	31	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	32	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	33	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	243	34	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	1	At	at	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	3	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	4	time	time	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	7	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	8	used	use	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	9	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	10	update	update	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	11	F	F	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	12	should	should	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	13	also	also	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	14	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	15	modified	modify	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	16	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	17	shown	show	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	18	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	19	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	20	6	6	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	244	21	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	1	Warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	2	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	3	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	4	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	5	Many	many	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	6	real	real	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	7	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	8	world	world	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	9	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	10	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	11	scale	scale	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	12	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	13	free	free	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	14	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	15	nature	nature	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	17	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	18	means	mean	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	19	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	20	their	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	21	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	22	distributions	distribution	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	23	follow	follow	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	24	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	25	power	power	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	26	law	law	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	245	27	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	1	When	when	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	2	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	3	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	4	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	5	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	6	implemented	implement	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	7	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	9	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	10	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	11	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	12	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	14	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	15	feature	feature	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	16	gives	give	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	17	rise	rise	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	18	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	19	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	20	severe	severe	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	21	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	22	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	23	imbalance	imbalance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	24	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	246	25	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	247	1	Most	Most	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	247	2	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	247	3	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	247	4	low	low	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	247	5	degrees	degree	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	247	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	247	7	while	while	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	247	8	some	some	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	247	9	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	247	10	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	247	11	extremely	extremely	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	247	12	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	247	13	degrees	degree	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	247	14	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	1	Threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	2	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	3	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	4	assigned	assign	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	5	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	6	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	7	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	8	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	9	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	10	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	11	run	run	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	12	slowly	slowly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	14	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	15	other	other	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	16	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	17	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	18	have	have	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	19	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	20	wait	wait	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	248	21	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	2	edge	edge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	3	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	4	parallel	parallel	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	5	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	6	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	7	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	8	used	use	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	9	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	10	solve	solve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	11	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	12	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	13	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	14	Jia	Jia	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	15	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	16	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	17	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	18	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	19	2011	2011	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	20	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	21	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	22	but	but	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	23	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	24	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	25	introduces	introduce	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	26	other	other	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	27	problems	problem	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	28	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	29	underutilization	underutilization	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	249	30	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	3	paper	paper	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	5	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	6	apply	apply	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	8	novel	novel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	9	warp	warp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	10	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	11	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	12	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	13	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	14	Hong	Hong	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	15	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	16	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	17	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	18	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	19	2011	2011	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	20	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	21	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	22	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	23	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	24	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	25	warp	warp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	26	rather	rather	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	27	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	28	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	29	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	30	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	31	allocated	allocate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	32	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	33	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	34	single	single	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	35	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	250	36	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	1	Then	then	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	3	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	4	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	5	within	within	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	6	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	7	warp	warp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	8	focuses	focus	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	9	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	10	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	11	subset	subset	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	12	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	14	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	15	connected	connect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	16	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	18	corresponding	correspond	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	19	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	251	20	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	1	As	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	2	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	3	result	result	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	5	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	6	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	7	does	do	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	8	less	less	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	9	work	work	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	10	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	11	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	12	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	13	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	14	degrees	degree	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	16	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	18	wait	wait	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	19	time	time	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	20	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	21	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	22	greatly	greatly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	23	decreased	decrease	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	252	24	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	1	Moreover	moreover	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	3	memory	memory	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	4	access	access	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	5	patterns	pattern	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	6	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	7	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	8	more	more	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	9	tightly	tightly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	10	grouped	group	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	11	compared	compare	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	12	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	13	conventional	conventional	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	14	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	15	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	16	level	level	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	17	task	task	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	18	allocation	allocation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	19	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	20	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	21	consequently	consequently	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	22	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	23	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	24	efficiency	efficiency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	25	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	26	memory	memory	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	27	access	access	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	28	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	29	also	also	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	30	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	31	fundamentally	fundamentally	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	32	improved	improve	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	253	33	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	254	1	Nevertheless	nevertheless	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	254	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	254	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	254	4	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	254	5	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	254	6	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	254	7	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	254	8	also	also	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	254	9	has	have	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	254	10	some	some	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	254	11	disadvantages	disadvantage	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	254	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	1	First	first	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	4	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	5	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	6	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	7	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	8	may	may	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	9	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	10	smaller	small	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	11	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	12	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	13	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	14	size	size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	16	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	17	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	18	always	always	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	19	32	32	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	20	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	21	modern	modern	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	22	GPUs	gpu	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	255	23	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	256	1	To	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	256	2	solve	solve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	256	3	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	256	4	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	256	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	256	6	Hong	Hong	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	256	7	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	256	8	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	256	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	257	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	257	2	2011	2011	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	257	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	257	4	proposed	propose	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	257	5	virtual	virtual	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	257	6	warps	warps	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	257	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	1	Second	second	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	4	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	5	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	6	required	require	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	7	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	8	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	9	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	10	increased	increase	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	11	overall	overall	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	12	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	13	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	14	node	node	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	15	needs	need	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	16	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	17	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	18	Figure	figure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	19	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	20	Examples	Examples	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	21	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	22	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	23	allocation	allocation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	24	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	25	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	26	A	a	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	27	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	28	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	29	node	node	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	30	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	31	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	32	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	33	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	34	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	35	B	b	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	36	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	37	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	38	work-	work-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	39	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	40	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	258	41	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	1	Red	red	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	2	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	3	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	4	white	white	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	5	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	6	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	7	frontier	frontier	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	8	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	9	non	non	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	10	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	11	frontier	frontier	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	12	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	14	respectively	respectively	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	16	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	17	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	18	arrow	arrow	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	19	represents	represent	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	20	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	21	warp	warp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	22	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	23	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	24	contains	contain	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	25	multiple	multiple	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	26	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	27	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	28	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	29	all	all	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	30	assigned	assign	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	31	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	32	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	33	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	34	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	259	35	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	3	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	4	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	5	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	6	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	8	more	more	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	9	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	10	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	11	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	12	wasted	waste	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	13	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	14	non	non	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	15	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	16	frontier	frontier	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	17	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	18	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	19	do	do	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	20	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	21	need	need	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	22	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	23	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	24	inspected	inspect	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	260	25	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	3	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	4	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	5	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	6	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	7	solved	solve	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	8	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	9	combining	combine	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	11	warp	warp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	12	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	13	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	14	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	15	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	16	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	17	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	18	methods	method	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	19	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	20	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	21	shown	show	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	22	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	23	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	24	B	b	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	25	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	261	26	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	1	Full	full	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	2	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	3	size	size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	4	DOI	doi	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	5	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	6	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	7	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	8	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	10	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	11	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	12	fig-2	fig-2	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	13	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	14	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	15	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	262	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	263	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	263	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	263	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	263	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	263	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	263	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	263	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	10	13/23	13/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	11	http://dx.doi.org/10.7717/peerj-cs.140/fig-2	http://dx.doi.org/10.7717/peerj-cs.140/fig-2	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	12	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	14	rather	rather	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	15	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	16	one	one	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	17	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	18	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	19	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	20	approach	approach	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	21	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	22	here	here	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	24	WARP_SIZE	WARP_SIZE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	25	denotes	denote	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	26	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	27	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	28	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	29	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	30	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	31	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	32	warp	warp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	33	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	264	34	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	4	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	5	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	6	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	7	per	per	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	8	block	block	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	9	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	10	fixed	fix	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	11	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	12	hence	hence	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	14	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	15	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	16	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	17	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	18	iteratively	iteratively	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	19	assigned	assign	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	20	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	21	additional	additional	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	22	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	24	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	25	may	may	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	26	result	result	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	27	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	28	low	low	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	29	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	265	30	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	2	find	find	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	3	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	5	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	6	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	7	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	8	technique	technique	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	9	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	10	effectively	effectively	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	11	relieve	relieve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	12	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	13	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	14	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	15	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	16	requires	require	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	17	fewer	few	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	18	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	19	compared	compare	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	20	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	21	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	22	conventional	conventional	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	23	node	node	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	24	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	25	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	26	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	27	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	28	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	29	seen	see	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	30	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	31	Fig	Fig	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	266	32	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	267	1	2	2	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	267	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	3	paper	paper	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	5	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	6	apply	apply	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	8	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	10	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	11	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	12	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	13	combination	combination	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	14	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	15	both	both	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	16	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	17	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	18	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	19	parallel	parallel	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	20	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	21	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	22	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	23	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	24	methods	method	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	25	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	26	resulting	result	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	27	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	28	four	four	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	29	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	30	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	31	different	different	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	32	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	33	allocation	allocation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	34	strategies	strategy	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	35	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	36	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	37	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	38	compare	compare	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	39	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	40	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	41	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	42	both	both	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	43	real	real	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	44	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	45	world	world	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	46	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	47	synthetic	synthetic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	48	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	268	49	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	1	EXPERIMENTS	EXPERIMENTS	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	2	Networks	Networks	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	3	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	4	settings	setting	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	5	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	6	collected	collect	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	7	ten	ten	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	8	weighted	weight	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	9	real	real	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	10	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	11	world	world	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	12	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	13	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	14	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	15	Internet	internet	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	269	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	1	These	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	2	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	3	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	5	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	6	broad	broad	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	7	variety	variety	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	8	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	9	types	type	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	11	including	include	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	12	collaboration	collaboration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	13	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	15	biological	biological	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	16	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	17	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	18	social	social	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	19	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	270	20	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	2	also	also	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	3	downloaded	download	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	4	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	5	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	6	synthetic	synthetic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	7	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	8	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	9	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	10	20	20	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	11	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	12	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	13	more	more	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	14	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	15	44	44	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	16	million	million	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	17	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	271	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	1	These	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	2	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	3	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	4	publicly	publicly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	5	available	available	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	6	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	8	Internet	internet	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	9	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	10	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	11	been	be	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	12	analyzed	analyze	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	13	extensively	extensively	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	14	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	15	previous	previous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	16	studies	study	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	17	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	18	Rossi	Rossi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	19	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	20	Ahmed	Ahmed	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	21	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	22	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	23	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	24	Bansal	Bansal	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	25	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	26	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	27	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	28	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	29	2007	2007	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	30	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	31	Palla	Palla	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	32	et	et	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	33	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	34	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	35	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	36	2008	2008	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	37	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	38	Barabási	Barabási	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	39	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	40	Albert	Albert	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	41	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	42	1999	1999	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	43	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	44	Leskovec	Leskovec	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	45	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	46	Krevl	Krevl	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	47	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	48	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	49	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	50	De	De	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	51	Domenico	Domenico	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	52	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	53	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	54	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	55	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	56	2013	2013	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	57	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	58	Leskovec	Leskovec	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	59	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	60	Adamic	Adamic	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	61	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	62	Huberman	Huberman	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	63	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	64	2007	2007	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	65	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	66	Bader	Bader	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	67	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	68	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	69	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	70	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	71	2012	2012	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	72	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	73	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	74	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	272	75	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	273	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	273	2	details	detail	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	273	3	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	273	4	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	273	5	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	273	6	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	273	7	listed	list	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	273	8	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	273	9	Table	table	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	273	10	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	273	11	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	2	developed	develop	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	3	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	4	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	5	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	6	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	7	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	8	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	9	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	10	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	11	tool	tool	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	12	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	13	https://graph-tool.skewed.de	https://graph-tool.skewed.de	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	14	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	16	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	17	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	18	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	19	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	20	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	21	analysis	analysis	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	22	tool	tool	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	23	whose	whose	WP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	24	core	core	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	25	data	datum	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	26	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	27	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	28	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	29	implemented	implement	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	30	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	31	C++	C++	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	32	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	33	making	make	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	34	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	35	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	36	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	37	various	various	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	38	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	39	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	40	related	relate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	41	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	42	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	43	including	include	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	44	betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	45	calculations	calculation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	46	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	47	https://graph-tool.skewed.de/performance	https://graph-tool.skewed.de/performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	48	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	274	49	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	2	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	3	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	4	performed	perform	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	5	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	6	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	7	tool	tool	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	8	relies	rely	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	9	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	11	Boost	Boost	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	12	Graph	Graph	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	13	Library	Library	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	14	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	15	Siek	Siek	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	17	Lee	Lee	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	18	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	19	Lumsdaine	Lumsdaine	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	20	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	21	2001	2001	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	22	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	24	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	25	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	26	supports	support	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	27	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	28	execution	execution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	29	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	30	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	31	betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	32	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	33	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	34	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	35	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	36	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	37	Gregor	Gregor	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	38	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	39	Lumsdaine	Lumsdaine	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	40	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	41	2005	2005	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	42	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	43	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	44	http://www.boost.org/doc/libs/1_65_1/libs/	http://www.boost.org/doc/libs/1_65_1/libs/	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	45	graph_parallel	graph_parallel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	46	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	47	doc	doc	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	48	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	49	html	html	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	50	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	51	index.html	index.html	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	52	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	275	53	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	2	ran	run	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	3	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	4	four	four	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	5	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	6	implementations	implementation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	7	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	8	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	9	GeForce	GeForce	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	10	GTX	GTX	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	11	1080	1080	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	12	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	14	CUDA	CUDA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	15	8.0	8.0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	16	Toolkit	Toolkit	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	276	17	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	2	GeForce	GeForce	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	3	GTX	GTX	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	4	1080	1080	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	5	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	6	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	7	compute	compute	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	9	capable	capable	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	10	6.1	6.1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	11	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	12	designed	design	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	13	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	14	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	15	Pascal	pascal	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	16	architecture	architecture	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	17	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	18	has	have	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	19	20	20	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	20	multiprocessors	multiprocessor	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	21	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	22	8	8	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	23	GB	GB	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	24	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	25	device	device	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	26	memory	memory	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	27	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	28	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	29	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	30	clock	clock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	31	frequency	frequency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	32	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	33	1,772	1,772	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	34	MHz	MHz	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	277	35	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	278	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	278	2	CPU	CPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	278	3	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	278	4	used	use	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	278	5	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	278	6	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	278	7	Intel	Intel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	278	8	Core	Core	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	278	9	i7	i7	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	278	10	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	278	11	7700	7700	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	278	12	K	K	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	278	13	processor	processor	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	278	14	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	2	Core	Core	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	3	i7	i7	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	4	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	5	7700	7700	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	6	K	K	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	7	has	have	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	8	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	9	frequency	frequency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	10	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	11	4.2	4.2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	12	GHz	GHz	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	14	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	15	8	8	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	16	MB	mb	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	17	cache	cache	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	18	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	19	eight	eight	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	20	physical	physical	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	21	processor	processor	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	22	cores	core	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	279	23	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	2	used	use	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	3	four	four	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	4	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	5	since	since	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	6	hyperthreading	hyperthreade	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	7	does	do	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	8	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	9	improve	improve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	10	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	12	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	13	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	14	also	also	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	15	ran	run	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	16	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	17	sequential	sequential	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	18	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	19	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	20	such	such	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	21	implementations	implementation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	22	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	23	still	still	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	24	widely	widely	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	25	applied	apply	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	26	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	27	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	28	researchers	researcher	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	280	29	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	1	To	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	2	further	further	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	3	investigate	investigate	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	5	effects	effect	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	6	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	7	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	8	structures	structure	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	9	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	11	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	12	’	’	POS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	13	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	15	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	16	generated	generate	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	17	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	18	types	type	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	19	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	20	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	21	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	22	Erdös	Erdös	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	23	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	24	Rényi	Rényi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	25	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	26	ER	ER	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	27	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	28	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	29	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	30	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	31	Erdös	Erdös	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	32	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	33	Rényi	Rényi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	34	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	35	1959	1959	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	36	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	37	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	38	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	39	graphs	graphs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	40	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	41	Leskovec	Leskovec	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	42	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	43	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	44	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	45	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	46	2010	2010	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	47	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	281	48	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	2	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	3	distribution	distribution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	5	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	6	ER	ER	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	7	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	8	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	9	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	10	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	11	Poisson	Poisson	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	12	distribution	distribution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	14	meaning	mean	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	15	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	16	its	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	17	node	node	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	18	degrees	degree	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	19	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	20	relatively	relatively	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	21	balanced	balanced	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	282	22	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	1	Meanwhile	meanwhile	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	3	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	4	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	5	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	6	possesses	possess	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	7	scale	scale	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	9	free	free	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	10	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	11	small	small	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	12	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	13	world	world	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	14	characteristics	characteristic	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	16	making	make	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	17	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	18	appropriate	appropriate	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	19	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	20	studying	study	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	21	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	22	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	23	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	24	imbalance	imbalance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	25	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	283	26	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	2	uniformly	uniformly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	3	assigned	assign	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	4	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	5	edge	edge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	6	weights	weight	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	7	ranging	range	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	8	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	9	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	10	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	11	10	10	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	13	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	14	done	do	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	15	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	16	previous	previous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	17	studies	study	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	18	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	19	Martin	Martin	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	20	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	21	Torres	Torres	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	22	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	23	Gavilanes	Gavilanes	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	24	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	25	2009	2009	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	26	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	27	Ortega	Ortega	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	28	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	29	Arranz	Arranz	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	30	et	et	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	31	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	32	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	33	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	34	2013	2013	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	35	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	284	36	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	2	used	use	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	3	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	4	synthetic	synthetic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	5	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	6	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	7	study	study	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	9	relationship	relationship	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	10	between	between	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	12	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	13	structure	structure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	14	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	16	traversal	traversal	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	17	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	285	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	286	1	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	286	2	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	286	3	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	286	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	287	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	287	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	287	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	287	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	287	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	287	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	287	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	10	14/23	14/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	11	https://graph-tool.skewed.de	https://graph-tool.skewed.de	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	12	https://graph-tool.skewed.de/performance	https://graph-tool.skewed.de/performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	13	http://www.boost.org/doc/libs/1_65_1/libs/graph_parallel/doc/html/index.html	http://www.boost.org/doc/libs/1_65_1/libs/graph_parallel/doc/html/index.html	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	14	http://www.boost.org/doc/libs/1_65_1/libs/graph_parallel/doc/html/index.html	http://www.boost.org/doc/libs/1_65_1/libs/graph_parallel/doc/html/index.html	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	15	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	16	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	17	Results	Results	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	18	Overall	overall	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	19	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	20	From	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	21	Table	table	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	22	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	24	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	25	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	26	see	see	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	27	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	28	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	29	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	30	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	31	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	32	programs	program	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	33	achieve	achieve	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	34	better	well	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	35	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	36	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	37	both	both	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	38	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	39	sequential	sequential	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	40	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	41	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	42	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	43	versions	version	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	44	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	45	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	46	real	real	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	47	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	48	world	world	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	49	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	288	50	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	2	best	good	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	3	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	4	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	5	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	6	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	7	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	8	achieves	achieve	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	9	speedups	speedup	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	10	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	11	2.9	2.9	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	12	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	13	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	14	8.44	8.44	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	15	�	�	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	16	compared	compare	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	17	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	19	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	20	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	21	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	22	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	23	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	24	10	10	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	25	�	�	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	26	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	27	20	20	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	28	�	�	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	29	compared	compare	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	30	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	31	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	32	sequential	sequential	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	33	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	34	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	35	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	36	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	37	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	38	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	39	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	40	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	41	markedly	markedly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	42	improved	improve	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	43	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	44	assigning	assign	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	45	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	46	appropriate	appropriate	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	47	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	289	48	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	1	Even	even	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	2	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	4	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	5	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	6	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	7	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	8	more	more	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	9	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	10	one	one	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	11	million	million	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	12	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	14	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	15	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	16	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	17	produce	produce	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	18	results	result	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	19	within	within	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	20	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	21	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	22	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	23	days	day	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	290	24	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	1	Note	note	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	2	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	4	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	5	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	6	previous	previous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	7	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	9	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	10	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	11	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	12	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	13	unweighted	unweighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	14	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	15	might	may	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	16	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	17	superior	superior	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	18	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	19	ours	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	20	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	21	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	22	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	23	similar	similar	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	24	sizes	size	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	25	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	26	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	27	complexity	complexity	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	28	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	29	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	30	weighted	weight	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	31	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	32	algorithm	algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	33	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	34	higher	high	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	35	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	36	that	that	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	37	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	38	its	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	39	unweighted	unweighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	40	counterparts	counterpart	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	291	41	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	1	As	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	2	seen	see	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	3	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	4	Table	table	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	5	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	8	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	10	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	11	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	12	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	13	more	more	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	14	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	15	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	16	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	17	node	node	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	18	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	19	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	20	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	21	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	22	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	23	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	24	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	25	whereas	whereas	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	26	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	27	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	28	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	29	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	30	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	31	performs	perform	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	32	better	better	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	33	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	34	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	35	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	36	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	37	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	38	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	39	such	such	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	40	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	41	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	42	three	three	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	43	biological	biological	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	44	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	292	45	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	3	combining	combine	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	5	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	6	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	7	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	8	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	9	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	11	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	12	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	13	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	14	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	15	always	always	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	16	results	result	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	17	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	18	superior	superior	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	19	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	20	approximately	approximately	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	21	equal	equal	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	22	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	23	compared	compare	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	24	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	25	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	26	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	27	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	28	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	29	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	30	alone	alone	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	31	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	32	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	33	causes	cause	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	34	fewer	few	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	35	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	36	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	37	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	38	required	require	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	39	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	40	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	41	step	step	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	42	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	43	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	44	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	45	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	46	turn	turn	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	47	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	48	alleviates	alleviate	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	49	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	50	second	second	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	51	disadvantage	disadvantage	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	52	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	53	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	54	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	55	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	56	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	57	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	293	58	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	2	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	3	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	4	low	low	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	5	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	6	degrees	degree	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	8	such	such	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	9	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	10	ca	ca	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	11	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	12	MathSciNet	mathscinet	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	13	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	14	dir	dir	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	16	rt	rt	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	17	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	18	higgs	higgs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	19	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	20	mt	mt	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	21	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	22	higgs	higgs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	24	applying	apply	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	25	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	26	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	27	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	28	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	29	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	30	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	31	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	32	real	real	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	33	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	34	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	35	32	32	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	36	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	37	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	38	always	always	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	39	inefficient	inefficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	40	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	41	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	42	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	43	’	’	POS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	44	degrees	degree	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	45	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	46	always	always	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	47	smaller	small	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	48	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	49	WARP_SIZE	WARP_SIZE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	294	50	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	1	Using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	2	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	3	smaller	small	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	4	virtual	virtual	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	5	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	6	enables	enable	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	7	better	well	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	8	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	9	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	10	Table	table	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	11	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	12	Details	detail	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	13	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	14	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	15	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	16	public	public	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	17	datasets	dataset	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	295	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	1	Network	Network	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	2	Vertices	Vertices	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	3	Edges	Edges	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	4	Max	Max	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	5	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	6	Average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	7	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	8	Description	Description	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	9	bio	bio	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	10	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	11	human	human	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	12	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	13	gene1	gene1	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	14	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	15	Rossi	Rossi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	16	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	17	Ahmed	Ahmed	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	18	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	19	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	20	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	21	Bansal	Bansal	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	22	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	23	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	24	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	25	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	26	2007	2007	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	27	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	28	22,283	22,283	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	29	12,345,963	12,345,963	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	30	7,940	7,940	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	31	1,108.11	1,108.11	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	32	Human	Human	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	33	gene	gene	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	34	regulatory	regulatory	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	35	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	36	bio	bio	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	37	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	38	human	human	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	39	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	40	gene2	gene2	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	41	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	42	Rossi	Rossi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	43	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	44	Ahmed	Ahmed	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	45	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	46	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	47	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	48	Bansal	Bansal	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	49	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	50	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	51	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	52	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	53	2007	2007	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	54	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	55	14,340	14,340	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	56	9,041,364	9,041,364	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	57	7,230	7,230	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	58	1,261.00	1,261.00	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	59	Human	Human	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	60	gene	gene	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	61	regulatory	regulatory	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	62	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	63	bio	bio	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	64	-	-	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	65	mouse	mouse	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	66	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	67	gene	gene	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	68	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	69	Rossi	Rossi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	70	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	71	Ahmed	Ahmed	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	72	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	73	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	74	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	75	Bansal	Bansal	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	76	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	77	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	78	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	79	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	80	2007	2007	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	81	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	82	45,101	45,101	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	83	14,506,196	14,506,196	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	84	8,033	8,033	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	85	643.28	643.28	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	86	Mouse	Mouse	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	87	gene	gene	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	88	regulatory	regulatory	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	89	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	90	ca	ca	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	91	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	92	MathSciNet	mathscinet	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	93	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	94	dir	dir	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	95	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	96	Rossi	Rossi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	97	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	98	Ahmed	Ahmed	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	99	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	100	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	101	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	102	Palla	Palla	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	103	et	et	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	104	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	105	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	106	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	107	2008	2008	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	108	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	109	391,529	391,529	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	110	873,775	873,775	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	111	496	496	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	112	4.46	4.46	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	113	Co	co	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	114	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	115	authorship	authorship	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	116	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	117	actors	actor	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	118	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	119	Barabási	Barabási	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	120	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	121	Albert	Albert	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	122	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	123	1999	1999	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	124	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	125	382,219	382,219	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	126	15,038,094	15,038,094	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	127	3,956	3,956	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	128	78.69	78.69	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	129	Actor	Actor	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	130	collaboration	collaboration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	131	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	132	rt	rt	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	133	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	134	higgs	higgs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	135	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	136	Leskovec	Leskovec	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	137	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	138	Krevl	Krevl	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	139	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	140	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	141	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	142	De	De	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	143	Domenico	Domenico	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	144	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	145	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	146	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	147	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	148	2013	2013	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	149	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	150	425,008	425,008	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	151	732,827	732,827	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	152	31,558	31,558	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	153	3.45	3.45	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	154	Twitter	Twitter	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	155	retweeting	retweete	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	156	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	157	mt	mt	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	158	-	-	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	159	higgs	higgs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	160	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	161	Leskovec	Leskovec	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	162	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	163	Krevl	Krevl	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	164	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	165	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	166	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	167	De	De	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	168	Domenico	Domenico	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	169	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	170	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	171	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	172	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	173	2013	2013	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	174	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	175	116,408	116,408	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	176	145,774	145,774	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	177	11,957	11,957	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	178	2.50	2.50	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	179	Twitter	Twitter	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	180	mention	mention	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	181	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	182	rec	rec	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	183	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	184	amazon	amazon	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	185	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	186	Rossi	Rossi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	187	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	188	Ahmed	Ahmed	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	189	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	190	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	191	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	192	Leskovec	Leskovec	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	193	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	194	Adamic	Adamic	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	195	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	196	Huberman	Huberman	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	197	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	198	2007	2007	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	199	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	200	91,813	91,813	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	201	125,704	125,704	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	202	5	5	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	203	2.74	2.74	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	204	Product	product	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	205	copurchase	copurchase	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	206	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	207	sc	sc	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	208	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	209	shipsec1	shipsec1	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	210	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	211	Rossi	Rossi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	212	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	213	Ahmed	Ahmed	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	214	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	215	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	216	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	217	Bader	Bader	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	218	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	219	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	220	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	221	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	222	2012	2012	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	223	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	224	140,385	140,385	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	225	1,707,759	1,707,759	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	226	67	67	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	227	24.33	24.33	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	228	Scientific	scientific	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	229	computing	computing	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	230	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	231	soc	soc	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	232	-	-	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	233	pokec	pokec	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	234	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	235	Leskovec	Leskovec	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	236	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	237	Krevl	Krevl	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	238	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	239	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	240	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	241	1,632,803	1,632,803	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	242	30,622,564	30,622,564	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	243	14,854	14,854	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	244	27.32	27.32	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	245	Pokec	Pokec	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	246	social	social	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	247	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	248	kron_g500	kron_g500	ADD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	249	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	250	Bader	Bader	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	251	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	252	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	253	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	254	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	255	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	256	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	257	1,048,576	1,048,576	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	258	44,619,402	44,619,402	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	259	131,503	131,503	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	260	112.22	112.22	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	261	Large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	262	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	263	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	264	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	265	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	266	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	296	267	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	297	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	297	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	297	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	297	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	297	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	297	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	297	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	10	15/23	15/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	11	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	13	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	14	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	16	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	17	shown	show	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	18	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	19	Table	Table	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	20	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	21	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	22	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	23	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	24	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	25	also	also	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	26	further	further	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	27	demonstrate	demonstrate	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	28	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	29	later	later	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	298	30	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	1	With	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	2	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	3	appropriate	appropriate	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	4	adjustment	adjustment	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	5	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	6	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	7	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	8	low	low	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	10	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	11	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	14	best-	best-	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	15	performing	perform	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	16	program	program	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	17	achieves	achieve	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	18	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	19	speedups	speedup	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	20	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	21	5.2	5.2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	22	�	�	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	23	compared	compare	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	24	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	25	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	26	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	27	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	28	implementation	implementation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	29	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	30	2.34	2.34	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	31	�	�	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	32	compared	compare	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	33	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	34	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	35	baseline	baseline	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	36	node	node	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	37	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	38	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	39	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	299	40	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	3	rec	rec	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	4	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	5	amazon	amazon	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	6	graph	graph	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	8	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	9	has	have	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	11	lowest	low	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	12	maximum	maximum	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	13	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	16	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	17	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	18	imbalance	imbalance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	19	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	20	does	do	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	21	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	22	exist	exist	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	24	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	25	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	26	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	27	reason	reason	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	28	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	29	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	30	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	31	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	32	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	33	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	34	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	35	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	36	improve	improve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	37	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	38	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	39	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	40	instead	instead	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	41	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	42	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	43	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	44	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	45	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	46	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	47	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	48	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	49	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	50	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	51	alone	alone	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	52	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	53	applied	apply	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	54	performs	perform	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	55	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	56	best	good	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	300	57	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	1	Influence	influence	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	2	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	3	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	4	structure	structure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	5	To	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	6	deeply	deeply	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	7	investigate	investigate	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	9	relationship	relationship	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	10	between	between	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	11	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	12	structure	structure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	13	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	14	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	15	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	16	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	17	four	four	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	18	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	19	implementations	implementation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	20	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	21	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	22	further	further	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	23	ran	run	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	24	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	25	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	26	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	27	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	28	types	type	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	29	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	30	synthetic	synthetic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	31	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	32	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	33	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	34	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	35	results	result	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	36	shown	show	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	37	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	38	Fig	Fig	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	301	39	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	302	1	3	3	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	302	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	303	1	From	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	303	2	Figs	Figs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	303	3	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	1	3A	3A	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	2	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	3	3D	3d	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	5	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	6	find	find	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	7	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	9	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	10	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	11	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	12	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	13	performs	perform	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	14	better	well	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	15	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	16	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	17	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	18	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	19	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	20	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	21	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	22	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	23	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	24	since	since	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	25	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	26	always	always	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	27	reduces	reduce	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	28	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	29	required	require	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	30	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	31	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	32	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	304	33	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	305	1	As	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	305	2	seen	see	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	305	3	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	305	4	Figs	Figs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	305	5	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	1	3A	3A	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	2	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	3	3B	3B	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	5	Table	table	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	6	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	7	Benchmark	benchmark	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	8	results	result	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	9	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	10	various	various	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	11	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	12	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	13	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	14	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	15	graphs	graph	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	17	including	include	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	18	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	19	sequential	sequential	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	20	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	21	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	22	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	23	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	24	four	four	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	25	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	26	thread	thread	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	27	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	28	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	29	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	30	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	31	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	32	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	33	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	34	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	35	NP	NP	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	36	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	37	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	38	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	39	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	40	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	41	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	42	WE	we	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	43	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	44	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	45	warp	warp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	46	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	47	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	48	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	49	warpx	warpx	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	50	denotes	denote	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	51	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	52	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	53	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	54	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	55	x	x	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	56	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	57	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	306	58	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	1	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	2	bio	bio	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	3	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	4	human	human	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	5	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	6	gene1	gene1	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	7	bio	bio	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	8	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	9	human	human	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	10	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	11	gene2	gene2	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	12	bio	bio	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	13	-	-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	14	mouse	mouse	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	15	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	16	gene	gene	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	17	ca	ca	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	18	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	19	MathSciNet	mathscinet	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	20	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	21	dir	dir	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	22	actors	actor	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	23	CPU	CPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	24	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	25	sequential	sequential	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	26	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	27	7,494.09	7,494.09	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	28	3,505.49	3,505.49	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	29	18,300.83	18,300.83	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	30	49,184.05	49,184.05	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	31	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	32	CPU	CPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	33	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	34	4	4	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	35	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	36	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	37	2,245.61	2,245.61	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	38	1,023.48	1,023.48	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	39	5,460.26	5,460.26	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	40	21,169.81	21,169.81	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	41	89,196.19	89,196.19	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	42	NP	NP	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	43	1,585.69	1,585.69	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	44	697.51	697.51	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	45	4,407.42	4,407.42	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	46	6,154.18	6,154.18	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	47	44,137.50	44,137.50	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	48	WE	we	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	49	1,398.47	1,398.47	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	50	612.14	612.14	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	51	3,742.69	3,742.69	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	52	4,796.71	4,796.71	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	53	37,803.60	37,803.60	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	54	NP+warp32	np+warp32	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	55	511.73	511.73	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	56	196.67	196.67	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	57	1,497.56	1,497.56	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	58	13,883.50	13,883.50	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	59	32,567.60	32,567.60	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	60	WE+warp32	we+warp32	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	61	403.51	403.51	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	62	159.68	159.68	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	63	1,214.86	1,214.86	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	64	4,969.10	4,969.10	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	65	25,382.20	25,382.20	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	66	WE+warp4	WE+warp4	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	67	784.86	784.86	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	68	327.93	327.93	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	69	1,901.29	1,901.29	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	70	4,593.97	4,593.97	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	71	28,315.70	28,315.70	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	72	WE+warp8	we+warp8	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	73	562.48	562.48	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	74	229.53	229.53	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	75	1,365.80	1,365.80	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	76	4,579.23	4,579.23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	77	25,469.50	25,469.50	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	78	WE+warp16	we+warp16	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	79	439.58	439.58	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	80	174.51	174.51	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	81	1,170.26	1,170.26	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	82	4,706.05	4,706.05	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	83	24,715.40	24,715.40	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	84	best	good	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	85	speedup	speedup	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	86	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	87	over	over	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	88	sequential	sequential	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	89	CPU	CPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	90	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	91	18.57	18.57	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	92	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	93	21.95	21.95	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	94	�	�	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	95	15.64	15.64	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	96	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	97	10.74	10.74	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	98	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	99	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	100	best	good	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	101	speedup	speedup	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	102	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	103	over	over	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	104	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	105	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	106	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	107	5.57	5.57	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	108	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	109	6.41	6.41	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	110	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	111	4.67	4.67	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	112	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	113	4.62	4.62	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	114	�	�	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	115	3.61	3.61	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	116	�	�	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	117	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	118	rt	rt	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	119	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	120	higgs	higgs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	121	mt	mt	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	122	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	123	higgs	higgs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	124	rec	rec	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	125	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	126	amazon	amazon	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	127	sc	sc	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	128	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	129	shipsec1	shipsec1	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	130	soc	soc	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	131	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	132	pokec	pokec	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	133	kron_g500	kron_g500	ADD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	134	CPU	CPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	135	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	136	sequential	sequential	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	137	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	138	54,717.96	54,717.96	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	139	1,829.63	1,829.63	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	140	2,116.82	2,116.82	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	141	9,763.16	9,763.16	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	142	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	143	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	144	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	145	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	146	4	4	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	147	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	148	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	149	21,522.20	21,522.20	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	150	746.84	746.84	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	151	656.59	656.59	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	152	4,046.30	4,046.30	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	153	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	154	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	155	NP	NP	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	156	4,681.37	4,681.37	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	157	222.60	222.60	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	158	309.49	309.49	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	159	889.72	889.72	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	160	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	161	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	162	WE	we	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	163	4,197.30	4,197.30	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	164	197.24	197.24	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	165	226.55	226.55	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	166	776.21	776.21	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	167	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	168	317,922.00	317,922.00	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	169	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	170	88.3	88.3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	171	h	h	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	172	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	173	NP+warp32	NP+warp32	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	174	6,205.65	6,205.65	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	175	337.89	337.89	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	176	1,115.83	1,115.83	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	177	1,478.78	1,478.78	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	178	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	179	245,450.82	245,450.82	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	180	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	181	68.2	68.2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	182	h	h	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	183	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	184	WE+warp32	we+warp32	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	185	4,757.07	4,757.07	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	186	215.46	215.46	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	187	282.98	282.98	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	188	527.08	527.08	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	189	284,498.82	284,498.82	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	190	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	191	79	79	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	192	h	h	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	193	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	194	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	195	WE+warp4	WE+warp4	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	196	3,574.16	3,574.16	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	197	166.88	166.88	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	198	229.46	229.46	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	199	502.52	502.52	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	200	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	201	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	202	WE+warp8	we+warp8	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	203	3,641.77	3,641.77	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	204	169.14	169.14	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	205	238.03	238.03	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	206	479.26	479.26	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	207	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	208	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	209	WE+warp16	we+warp16	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	210	4,008.30	4,008.30	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	211	184.45	184.45	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	212	255.84	255.84	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	213	484.18	484.18	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	214	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	215	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	216	best	good	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	217	speedup	speedup	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	218	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	219	over	over	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	220	sequential	sequential	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	221	CPU	CPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	222	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	223	15.31	15.31	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	224	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	225	10.96	10.96	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	226	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	227	9.34	9.34	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	228	�	�	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	229	20.37	20.37	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	230	�	�	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	231	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	232	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	233	best	good	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	234	speedup	speedup	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	235	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	236	over	over	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	237	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	238	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	239	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	240	6.02	6.02	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	241	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	242	4.48	4.48	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	243	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	244	2.90	2.90	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	245	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	246	8.44	8.44	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	247	�	�	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	248	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	249	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	250	Notes	note	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	251	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	252	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	253	times	time	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	254	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	255	expressed	express	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	256	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	257	seconds	second	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	307	258	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	308	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	308	2	last	last	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	308	3	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	308	4	rows	row	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	308	5	report	report	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	308	6	speedups	speedup	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	308	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	2	result	result	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	3	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	5	CPU	CPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	6	sequential	sequential	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	7	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	8	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	10	actors	actor	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	11	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	12	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	13	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	14	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	15	provided	provide	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	16	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	17	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	18	program	program	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	19	consumed	consume	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	20	too	too	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	21	much	much	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	22	time	time	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	23	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	24	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	25	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	309	26	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	3	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	4	reason	reason	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	6	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	7	also	also	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	8	ran	run	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	9	only	only	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	10	selected	select	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	11	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	12	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	13	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	14	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	15	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	16	very	very	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	17	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	18	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	310	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	311	1	Bold	bold	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	311	2	entries	entry	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	311	3	display	display	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	311	4	running	run	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	311	5	times	time	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	311	6	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	311	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	311	8	fastest	fast	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	311	9	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	311	10	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	311	11	specific	specific	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	311	12	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	311	13	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	312	1	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	312	2	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	312	3	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	312	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	313	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	313	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	313	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	313	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	313	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	313	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	313	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	10	16/23	16/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	11	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	14	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	15	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	16	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	17	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	18	works	work	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	19	well	well	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	20	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	21	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	22	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	23	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	24	degrees	degree	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	25	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	26	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	27	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	28	consistent	consistent	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	29	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	30	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	31	findings	finding	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	32	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	33	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	34	real	real	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	35	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	36	world	world	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	37	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	314	38	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	1	Note	note	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	2	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	3	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	4	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	5	graphs	graphs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	8	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	10	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	11	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	12	works	work	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	13	better	well	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	14	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	15	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	16	does	do	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	17	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	18	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	19	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	20	since	since	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	21	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	22	graphs	graph	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	23	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	24	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	25	severe	severe	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	26	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	27	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	28	imbalance	imbalance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	29	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	30	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	31	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	32	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	33	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	34	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	35	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	36	technique	technique	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	37	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	38	appropriately	appropriately	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	39	address	address	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	315	40	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	316	1	By	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	316	2	contrast	contrast	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	316	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	316	4	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	316	5	ER	ER	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	316	6	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	316	7	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	316	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	316	9	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	316	10	shown	show	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	316	11	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	316	12	Fig	Fig	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	316	13	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	1	3A	3A	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	4	only	only	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	5	advantage	advantage	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	6	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	8	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	10	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	11	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	12	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	13	its	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	14	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	15	memory	memory	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	16	access	access	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	317	17	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	2	low	low	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	3	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	4	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	5	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	8	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	10	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	11	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	12	results	result	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	13	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	14	even	even	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	15	worse	bad	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	16	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	17	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	19	node	node	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	20	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	21	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	22	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	24	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	25	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	26	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	27	seen	see	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	28	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	29	Figs	Figs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	318	30	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	319	1	3C	3c	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	319	2	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	319	3	3D	3d	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	319	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	319	5	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	319	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	319	7	degrees	degree	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	319	8	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	319	9	always	always	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	319	10	smaller	small	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	319	11	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	319	12	WARP_SIZE	WARP_SIZE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	319	13	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	2	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	3	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	6	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	7	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	9	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	10	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	11	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	12	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	13	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	14	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	15	2500	2500	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	16	5000	5000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	17	7500	7500	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	18	10000	10000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	19	14	14	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	20	15	15	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	21	16	16	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	22	17	17	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	23	18	18	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	24	scale	scale	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	25	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	26	log2(number	log2(number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	27	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	28	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	29	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	30	tim	tim	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	31	e	e	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	32	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	33	s	s	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	34	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	35	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	36	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	37	2000	2000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	38	4000	4000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	39	6000	6000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	40	14	14	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	41	15	15	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	42	16	16	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	43	17	17	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	44	18	18	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	45	scale	scale	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	46	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	47	log2(number	log2(number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	48	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	49	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	50	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	51	tim	tim	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	52	e	e	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	53	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	54	s	s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	55	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	56	b	b	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	57	20	20	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	58	40	40	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	59	60	60	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	60	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	61	6	6	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	62	10	10	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	63	14	14	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	64	18	18	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	65	22	22	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	66	26	26	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	67	30	30	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	68	34	34	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	69	38	38	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	70	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	71	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	72	tim	tim	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	73	e	e	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	74	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	75	s	s	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	76	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	77	c	c	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	78	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	79	50	50	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	80	100	100	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	81	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	82	6	6	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	83	10	10	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	84	14	14	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	85	18	18	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	86	22	22	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	87	26	26	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	88	30	30	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	89	34	34	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	90	38	38	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	91	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	92	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	93	tim	tim	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	94	e	e	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	95	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	96	s	s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	97	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	98	d	d	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	99	node−parallel	node−parallel	ADD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	100	work−efficient	work−efficient	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	101	warp−centric	warp−centric	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	102	work−efficient+warp−centric	work−efficient+warp−centric	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	103	20	20	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	104	40	40	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	105	60	60	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	106	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	107	6	6	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	108	10	10	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	109	14	14	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	110	18	18	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	111	22	22	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	112	26	26	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	113	30	30	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	114	34	34	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	115	38	38	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	116	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	117	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	118	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	119	ve	ve	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	120	ra	ra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	121	g	g	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	122	e	e	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	123	d	d	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	124	e	e	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	125	p	p	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	126	th	th	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	127	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	128	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	129	e	e	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	130	Figure	figure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	131	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	132	Performance	Performance	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	133	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	134	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	135	four	four	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	136	implementations	implementation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	137	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	138	ER	ER	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	139	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	140	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	141	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	142	graphs	graphs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	320	143	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	321	1	Here	here	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	321	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	321	3	WARP_SIZE	WARP_SIZE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	321	4	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	321	5	fixed	fix	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	321	6	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	321	7	32	32	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	321	8	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	321	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	321	10	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	321	11	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	321	12	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	321	13	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	321	14	methods	method	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	321	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	2	A	a	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	4	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	5	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	6	B	b	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	7	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	8	show	show	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	10	results	result	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	11	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	12	varying	vary	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	14	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	15	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	16	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	17	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	18	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	19	14	14	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	20	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	21	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	22	18	18	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	23	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	24	ER	ER	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	25	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	26	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	27	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	28	graphs	graphs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	29	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	30	respectively	respectively	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	31	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	32	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	33	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	34	fixed	fix	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	35	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	36	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	37	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	38	32	32	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	39	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	40	both	both	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	41	types	type	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	42	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	43	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	322	44	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	2	C	c	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	4	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	5	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	6	D	d	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	7	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	8	show	show	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	10	results	result	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	11	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	12	varying	vary	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	14	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	15	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	16	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	17	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	18	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	19	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	20	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	21	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	22	respectively	respectively	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	24	where	where	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	25	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	26	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	27	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	28	contain	contain	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	29	20,000	20,000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	30	vertices	vertex	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	31	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	32	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	33	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	34	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	35	contain	contain	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	36	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	37	15	15	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	38	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	323	39	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	2	E	e	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	4	Illustrates	illustrate	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	6	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	7	depths	depth	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	8	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	10	search	search	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	11	trees	tree	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	12	used	use	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	13	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	14	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	15	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	16	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	17	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	18	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	19	C	C	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	20	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	21	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	22	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	23	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	24	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	25	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	26	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	27	D	d	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	28	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	324	29	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	1	Networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	2	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	3	greater	great	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	4	depths	depth	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	5	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	6	smaller	small	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	7	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	8	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	9	sets	set	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	11	resulting	result	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	12	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	13	poor	poor	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	14	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	15	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	325	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	1	Full	full	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	2	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	3	size	size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	4	DOI	doi	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	5	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	6	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	7	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	8	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	10	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	11	/	/	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	12	fig-3	fig-3	UH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	13	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	14	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	15	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	326	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	327	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	327	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	327	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	327	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	327	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	327	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	327	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	10	17/23	17/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	11	http://dx.doi.org/10.7717/peerj-cs.140/fig-3	http://dx.doi.org/10.7717/peerj-cs.140/fig-3	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	12	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	14	extremely	extremely	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	15	poor	poor	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	16	when	when	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	18	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	19	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	20	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	21	smaller	small	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	22	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	23	8	8	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	24	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	25	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	26	Fig	Fig	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	328	27	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	329	1	3E	3E	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	329	2	illustrates	illustrate	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	329	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	329	4	reason	reason	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	329	5	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	2	low	low	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	3	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	4	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	5	results	result	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	6	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	7	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	8	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	9	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	10	depth	depth	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	12	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	13	means	mean	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	14	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	16	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	17	size	size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	18	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	19	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	20	frontier	frontier	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	21	sets	set	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	22	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	23	small	small	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	330	24	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	2	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	3	case	case	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	6	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	7	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	8	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	9	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	10	assigns	assign	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	11	more	more	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	12	useless	useless	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	13	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	14	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	15	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	16	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	17	do	do	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	18	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	19	need	need	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	20	inspection	inspection	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	331	21	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	3	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	5	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	6	grows	grow	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	7	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	8	approaches	approach	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	9	WARP_SIZE	WARP_SIZE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	12	depth	depth	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	13	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	14	drops	drop	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	15	sharply	sharply	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	17	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	18	makes	make	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	19	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	20	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	21	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	22	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	23	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	24	perform	perform	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	25	much	much	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	26	better	well	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	332	27	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	1	Meanwhile	meanwhile	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	3	low	low	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	4	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	5	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	6	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	7	graphs	graph	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	8	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	9	power	power	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	10	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	11	law	law	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	12	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	13	distributions	distribution	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	14	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	15	small	small	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	16	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	17	depths	depth	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	18	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	19	consequently	consequently	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	20	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	21	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	22	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	23	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	24	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	25	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	26	does	do	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	27	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	28	perform	perform	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	29	as	as	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	30	poorly	poorly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	31	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	32	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	33	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	34	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	333	35	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	4	combination	combination	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	5	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	6	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	7	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	8	methods	method	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	9	always	always	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	10	results	result	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	11	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	12	faster	fast	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	13	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	14	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	16	work-	work-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	17	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	18	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	19	alone	alone	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	20	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	21	it	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	22	avoids	avoid	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	23	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	24	second	second	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	25	disadvantage	disadvantage	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	26	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	27	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	28	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	29	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	30	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	31	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	32	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	33	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	34	discussed	discuss	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	35	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	36	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	37	previous	previous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	38	section	section	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	334	39	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	2	conclusion	conclusion	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	5	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	6	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	7	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	8	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	9	always	always	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	10	achieves	achieve	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	11	better	well	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	12	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	14	whereas	whereas	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	16	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	17	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	19	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	20	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	21	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	22	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	23	depends	depend	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	24	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	25	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	26	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	27	structure	structure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	28	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	29	however	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	30	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	31	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	32	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	33	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	34	combines	combine	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	35	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	36	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	37	always	always	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	38	achieves	achieve	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	39	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	40	best	good	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	41	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	335	42	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	1	Analysis	analysis	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	2	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	3	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	4	size	size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	5	As	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	6	seen	see	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	7	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	9	above	above	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	10	analysis	analysis	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	12	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	13	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	14	smaller	small	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	15	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	16	may	may	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	17	accelerate	accelerate	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	18	both	both	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	19	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	20	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	21	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	22	parallel	parallel	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	23	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	24	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	25	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	26	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	27	implementations	implementation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	28	combined	combine	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	29	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	30	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	31	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	32	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	33	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	34	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	35	when	when	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	36	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	37	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	38	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	39	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	40	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	41	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	42	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	43	small	small	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	336	44	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	337	1	This	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	337	2	hypothesis	hypothesis	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	337	3	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	337	4	verified	verify	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	337	5	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	337	6	Table	Table	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	337	7	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	337	8	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	2	applied	apply	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	3	smaller	small	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	4	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	5	values	value	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	6	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	8	rt	rt	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	10	higgs	higgs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	11	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	14	mt	mt	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	15	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	16	higgs	higgs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	17	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	18	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	19	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	20	synthetic	synthetic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	21	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	22	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	23	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	24	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	25	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	26	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	27	four	four	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	338	28	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	2	find	find	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	3	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	4	implementations	implementation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	5	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	6	smaller	small	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	7	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	8	values	value	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	9	perform	perform	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	10	better	well	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	11	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	12	either	either	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	14	baseline	baseline	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	15	node	node	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	16	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	17	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	18	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	19	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	20	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	21	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	22	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	23	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	24	largest	large	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	25	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	26	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	27	both	both	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	28	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	29	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	30	low	low	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	31	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	32	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	33	real	real	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	34	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	35	world	world	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	36	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	37	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	38	rt	rt	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	39	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	40	higgs	higgs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	41	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	42	mt	mt	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	43	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	44	higgs	higgs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	339	45	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	1	Moreover	moreover	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	3	when	when	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	4	coupled	couple	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	5	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	7	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	9	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	10	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	12	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	13	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	14	smaller	small	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	15	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	16	values	value	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	17	also	also	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	18	perform	perform	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	19	better	well	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	20	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	21	either	either	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	22	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	23	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	24	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	25	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	26	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	27	alone	alone	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	28	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	29	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	30	combination	combination	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	31	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	32	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	33	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	34	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	35	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	36	strategy	strategy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	37	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	38	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	39	largest	large	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	40	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	340	41	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	2	reason	reason	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	3	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	4	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	5	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	6	small	small	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	7	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	8	reduces	reduce	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	10	required	require	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	11	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	12	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	13	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	15	thereby	thereby	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	16	eliminating	eliminate	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	18	waste	waste	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	19	incurred	incur	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	20	when	when	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	21	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	22	number	number	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	23	Table	table	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	24	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	25	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	26	results	result	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	27	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	28	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	29	different	different	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	30	values	value	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	31	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	32	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	33	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	34	several	several	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	35	low	low	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	36	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	37	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	38	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	341	39	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	1	Network	Network	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	2	rt	rt	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	3	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	4	higgs	higgs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	5	mt	mt	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	6	-	-	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	7	higgs	higgs	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	8	ER	ER	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	9	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	10	node	node	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	11	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	12	parallel	parallel	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	13	4681.37	4681.37	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	14	222.60	222.60	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	15	550.86	550.86	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	16	197.54	197.54	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	17	warp4	warp4	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	18	4182.84	4182.84	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	19	205.47	205.47	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	20	578.09	578.09	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	21	159.74	159.74	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	22	warp8	warp8	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	23	4446.10	4446.10	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	24	222.39	222.39	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	25	629.71	629.71	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	26	162.92	162.92	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	27	warp16	warp16	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	28	5088.25	5088.25	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	29	260.28	260.28	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	30	805.60	805.60	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	31	179.60	179.60	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	32	warp32	warp32	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	33	6205.65	6205.65	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	34	337.89	337.89	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	35	1294.71	1294.71	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	36	250.16	250.16	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	37	WE	we	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	38	4197.30	4197.30	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	39	197.24	197.24	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	40	435.93	435.93	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	41	133.84	133.84	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	42	WE+warp4	WE+warp4	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	43	3574.16	3574.16	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	44	166.88	166.88	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	45	413.36	413.36	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	46	118.90	118.90	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	47	WE+warp8	we+warp8	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	48	3641.77	3641.77	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	49	169.14	169.14	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	50	420.20	420.20	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	51	115.25	115.25	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	52	WE+warp16	we+warp16	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	53	4008.30	4008.30	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	54	184.45	184.45	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	55	449.54	449.54	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	56	115.12	115.12	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	57	WE+warp32	we+warp32	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	58	4757.07	4757.07	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	59	215.46	215.46	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	60	501.69	501.69	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	61	118.61	118.61	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	62	Notes	note	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	63	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	64	WE	we	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	65	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	66	short	short	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	67	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	68	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	69	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	70	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	71	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	342	72	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	1	Both	both	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	3	ER	ER	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	4	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	5	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	7	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	8	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	9	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	10	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	11	17	17	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	12	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	14	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	16	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	17	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	18	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	19	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	20	each	each	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	21	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	22	four	four	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	343	23	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	344	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	344	2	times	time	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	344	3	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	344	4	expressed	express	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	344	5	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	344	6	seconds	second	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	344	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	2	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	3	low	low	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	4	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	5	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	6	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	8	implementations	implementation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	9	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	10	smaller	small	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	11	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	12	values	value	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	13	achieve	achieve	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	14	better	well	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	15	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	345	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	346	1	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	346	2	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	346	3	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	346	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	347	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	347	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	347	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	347	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	347	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	347	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	347	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	10	18/23	18/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	11	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	13	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	14	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	15	assigned	assign	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	16	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	17	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	18	node	node	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	19	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	20	greater	great	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	21	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	22	its	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	23	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	348	24	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	2	implementations	implementation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	3	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	4	small	small	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	5	WARP_SIZE	warp_size	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	6	values	value	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	7	coupled	couple	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	8	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	10	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	11	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	12	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	13	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	14	achieve	achieve	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	16	best	good	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	17	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	18	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	19	they	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	20	avoid	avoid	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	21	both	both	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	22	disadvantages	disadvantage	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	23	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	24	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	25	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	26	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	27	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	28	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	29	while	while	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	30	utilizing	utilize	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	31	its	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	32	advantages	advantage	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	349	33	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	2	results	result	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	3	obtained	obtain	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	4	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	6	low	low	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	7	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	8	degree	degree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	9	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	10	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	11	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	12	similar	similar	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	13	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	14	those	those	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	15	obtained	obtain	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	16	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	17	realistic	realistic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	18	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	19	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	20	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	21	same	same	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	22	reason	reason	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	350	23	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	1	For	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	2	ER	ER	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	3	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	4	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	6	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	7	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	8	smaller	small	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	9	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	10	values	value	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	11	do	do	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	12	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	13	achieve	achieve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	14	better	well	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	15	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	16	compared	compare	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	17	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	19	node	node	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	20	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	21	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	22	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	23	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	24	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	25	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	26	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	27	average	average	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	28	tree	tree	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	29	depth	depth	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	30	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	31	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	32	discussed	discuss	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	33	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	34	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	35	previous	previous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	36	section	section	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	351	37	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	1	However	however	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	3	when	when	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	5	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	6	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	7	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	8	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	9	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	10	applied	apply	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	12	implementations	implementation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	13	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	14	smaller	small	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	15	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	16	values	value	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	17	perform	perform	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	18	slightly	slightly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	19	better	well	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	20	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	21	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	22	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	23	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	24	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	25	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	26	alone	alone	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	27	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	28	thereby	thereby	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	29	further	further	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	30	demonstrating	demonstrate	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	31	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	32	excellent	excellent	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	33	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	34	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	35	stability	stability	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	36	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	37	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	38	joint	joint	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	39	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	352	40	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	2	summary	summary	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	5	joint	joint	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	6	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	7	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	9	most	most	RBS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	10	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	11	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	12	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	13	most	most	RBS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	14	insensitive	insensitive	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	15	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	16	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	17	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	18	structure	structure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	353	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	1	Moreover	moreover	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	3	if	if	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	4	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	5	choose	choose	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	6	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	7	appropriate	appropriate	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	8	WARP_SIZE	warp_size	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	9	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	11	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	12	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	13	interest	interest	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	15	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	16	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	17	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	19	joint	joint	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	20	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	21	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	22	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	23	even	even	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	24	further	far	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	25	improved	improve	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	26	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	27	see	see	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	28	Tables	Tables	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	29	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	30	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	31	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	32	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	354	33	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	1	CONCLUSION	CONCLUSION	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	2	Existing	exist	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	3	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	4	versions	version	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	5	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	6	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	7	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	8	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	9	concentrated	concentrate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	10	only	only	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	11	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	12	unweighted	unweighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	13	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	14	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	15	simplicity	simplicity	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	355	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	1	Our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	2	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	3	offers	offer	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	4	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	5	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	6	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	7	computing	compute	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	8	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	9	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	10	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	11	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	12	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	14	bridging	bridge	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	15	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	16	gap	gap	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	17	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	18	enabling	enable	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	19	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	20	marked	marked	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	21	efficiency	efficiency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	22	enhancement	enhancement	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	23	compared	compare	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	24	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	25	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	26	implementations	implementation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	356	27	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	1	Moreover	moreover	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	3	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	4	incorporate	incorporate	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	5	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	6	excellent	excellent	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	7	techniques	technique	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	8	into	into	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	9	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	10	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	11	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	12	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	13	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	14	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	15	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	16	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	17	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	18	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	19	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	20	methods	method	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	357	21	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	2	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	3	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	4	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	5	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	6	allocates	allocate	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	7	threads	thread	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	8	more	more	RBR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	9	efficiently	efficiently	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	11	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	12	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	13	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	14	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	15	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	16	method	method	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	17	solves	solve	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	19	load	load	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	20	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	21	imbalance	imbalance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	22	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	23	while	while	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	24	simultaneously	simultaneously	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	25	optimizing	optimize	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	26	memory	memory	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	27	access	access	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	358	28	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	359	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	359	2	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	359	3	compared	compare	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	359	4	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	359	5	implementations	implementation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	359	6	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	359	7	sequential	sequential	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	359	8	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	359	9	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	359	10	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	359	11	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	359	12	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	359	13	realistic	realistic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	359	14	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	359	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	2	results	result	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	3	show	show	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	4	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	6	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	7	parallel	parallel	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	8	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	9	perform	perform	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	10	much	much	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	11	better	well	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	12	than	than	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	14	CPU	CPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	15	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	16	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	17	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	18	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	19	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	20	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	21	combines	combine	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	22	both	both	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	23	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	24	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	25	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	26	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	27	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	28	warp	warp	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	29	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	30	centric	centric	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	31	techniques	technique	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	32	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	33	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	34	best	good	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	35	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	36	achieving	achieve	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	37	2.9	2.9	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	38	�	�	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	39	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	40	8.44	8.44	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	41	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	42	speedups	speedup	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	43	over	over	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	44	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	45	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	46	CPU	cpu	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	47	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	48	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	49	10	10	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	50	�	�	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	51	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	52	20	20	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	53	�	�	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	54	speedups	speedup	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	55	over	over	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	56	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	57	sequential	sequential	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	58	CPU	CPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	59	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	360	60	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	1	Results	result	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	2	obtained	obtain	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	3	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	4	synthetic	synthetic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	5	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	6	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	7	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	8	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	9	graphs	graphs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	10	further	further	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	11	demonstrate	demonstrate	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	12	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	13	superior	superior	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	14	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	15	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	16	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	17	solution	solution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	361	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	2	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	3	future	future	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	4	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	6	we	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	7	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	8	consider	consider	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	9	other	other	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	10	techniques	technique	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	11	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	12	addressing	address	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	14	load-	load-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	15	imbalance	imbalance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	16	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	17	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	18	further	further	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	19	improve	improve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	20	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	21	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	22	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	23	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	24	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	25	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	26	Davidson	Davidson	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	27	et	et	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	28	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	29	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	30	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	31	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	32	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	33	Wang	Wang	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	34	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	35	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	36	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	37	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	38	2016	2016	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	39	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	362	40	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	363	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	363	2	addition	addition	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	363	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	363	4	Solomonik	Solomonik	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	363	5	et	et	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	363	6	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	363	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	4	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	5	proposed	propose	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	6	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	7	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	8	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	9	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	10	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	11	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	12	graphs	graph	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	13	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	14	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	15	novel	novel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	16	sparse	sparse	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	17	matrix	matrix	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	18	multiplication	multiplication	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	19	routines	routine	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	20	that	that	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	21	has	have	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	22	achieved	achieve	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	23	impressive	impressive	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	24	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	25	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	26	which	which	WDT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	27	may	may	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	28	provide	provide	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	29	further	further	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	30	inspiration	inspiration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	31	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	32	accelerating	accelerate	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	33	our	-PRON-	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	34	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	364	35	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	365	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	365	2	may	may	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	365	3	also	also	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	365	4	consider	consider	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	365	5	implementing	implement	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	365	6	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	365	7	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	365	8	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	365	9	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	365	10	processing	process	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	365	11	dynamic	dynamic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	365	12	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	365	13	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	1	When	when	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	2	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	3	change	change	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	4	only	only	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	5	slightly	slightly	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	6	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	7	e.g.	e.g.	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	9	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	10	few	few	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	11	new	new	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	12	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	13	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	14	added	add	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	15	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	16	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	17	few	few	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	18	links	link	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	19	vanish	vanish	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	20	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	21	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	22	recalculating	recalculate	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	23	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	24	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	25	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	26	all	all	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	27	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	28	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	29	unnecessary	unnecessary	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	30	because	because	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	31	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	32	BC	BC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	33	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	34	most	most	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	35	nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	36	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	37	edges	edge	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	38	will	will	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	39	not	not	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	40	change	change	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	366	41	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	1	Several	several	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	2	previous	previous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	3	works	work	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	4	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	5	explored	explore	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	6	sequential	sequential	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	7	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	8	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	9	addressing	address	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	10	this	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	11	issue	issue	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	12	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	13	Lee	Lee	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	15	Choi	Choi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	16	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	17	Chung	Chung	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	18	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	19	2016	2016	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	20	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	21	Singh	Singh	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	22	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	23	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	24	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	25	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	26	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	27	;	;	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	28	Nasre	Nasre	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	29	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	30	Pontecorvi	Pontecorvi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	31	&	&	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	32	Ramachandran	Ramachandran	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	33	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	34	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	35	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	367	36	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	368	1	We	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	368	2	plan	plan	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	368	3	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	368	4	develop	develop	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	368	5	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	368	6	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	368	7	version	version	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	368	8	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	368	9	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	368	10	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	368	11	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	368	12	achieve	achieve	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	368	13	better	well	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	368	14	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	368	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	369	1	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	369	2	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	369	3	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	369	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	370	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	370	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	370	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	370	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	370	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	370	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	370	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	10	19/23	19/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	11	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	13	ADDITIONAL	additional	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	14	INFORMATION	information	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	15	AND	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	16	DECLARATIONS	declaration	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	17	Funding	Funding	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	18	This	this	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	19	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	20	was	be	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	21	supported	support	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	22	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	23	NSFC	NSFC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	24	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	25	Grant	Grant	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	26	No	No	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	371	27	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	1	71501005	71501005	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	2	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	3	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	5	fund	fund	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	6	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	8	State	State	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	9	Key	Key	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	10	Laboratory	Laboratory	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	11	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	12	Software	Software	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	13	Development	Development	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	14	Environment	Environment	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	15	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	16	Grant	Grant	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	17	Nos	Nos	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	372	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	373	1	SKLSDE-2015ZX-05	SKLSDE-2015ZX-05	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	373	2	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	373	3	SKLSDE-2015ZX-28	SKLSDE-2015ZX-28	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	373	4	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	373	5	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	374	1	Rui	Rui	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	374	2	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	374	3	is	be	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	374	4	supported	support	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	374	5	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	374	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	374	7	Innovation	Innovation	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	374	8	Foundation	Foundation	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	374	9	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	374	10	BUAA	BUAA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	374	11	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	374	12	PhD	phd	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	374	13	Graduates	Graduates	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	374	14	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	2	funders	funder	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	3	had	have	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	4	no	no	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	5	role	role	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	6	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	7	study	study	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	8	design	design	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	10	data	datum	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	11	collection	collection	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	12	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	13	analysis	analysis	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	15	decision	decision	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	16	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	17	publish	publish	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	18	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	19	or	or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	20	preparation	preparation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	21	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	22	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	23	manuscript	manuscript	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	375	24	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	1	Grant	Grant	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	2	Disclosures	disclosure	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	3	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	4	following	follow	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	5	grant	grant	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	6	information	information	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	7	was	be	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	8	disclosed	disclose	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	9	by	by	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	10	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	11	authors	author	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	12	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	13	NSFC	NSFC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	14	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	15	71501005	71501005	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	376	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	377	1	State	State	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	377	2	Key	Key	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	377	3	Laboratory	Laboratory	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	377	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	377	5	Software	Software	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	377	6	Development	Development	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	377	7	Environment	Environment	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	377	8	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	377	9	SKLSDE-2015ZX-05	SKLSDE-2015ZX-05	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	377	10	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	377	11	SKLSDE-2015ZX-28	SKLSDE-2015ZX-28	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	377	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	378	1	Innovation	Innovation	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	378	2	Foundation	Foundation	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	378	3	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	378	4	BUAA	BUAA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	378	5	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	378	6	PhD	phd	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	378	7	Graduates	Graduates	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	378	8	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	379	1	Competing	compete	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	379	2	Interests	interest	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	379	3	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	379	4	authors	author	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	379	5	declare	declare	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	379	6	that	that	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	379	7	they	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	379	8	have	have	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	379	9	no	no	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	379	10	competing	compete	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	379	11	interests	interest	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	379	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	1	Author	author	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	2	Contributions	Contributions	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	3	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	4	Rui	Rui	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	5	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	6	conceived	conceive	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	7	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	8	designed	design	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	10	experiments	experiment	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	12	performed	perform	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	13	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	14	experiments	experiment	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	16	analyzed	analyze	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	18	data	datum	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	19	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	20	wrote	write	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	21	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	22	paper	paper	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	23	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	24	prepared	prepare	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	25	figures	figure	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	26	and/or	and/or	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	27	tables	table	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	28	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	29	performed	perform	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	30	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	31	computation	computation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	32	work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	380	33	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	1	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	2	Ke	Ke	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	3	Xu	Xu	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	4	conceived	conceive	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	5	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	6	designed	design	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	8	experiments	experiment	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	10	wrote	write	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	12	paper	paper	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	14	reviewed	review	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	15	drafts	draft	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	16	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	18	paper	paper	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	381	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	1	�	�	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	2	Jichang	Jichang	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	3	Zhao	Zhao	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	4	conceived	conceive	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	5	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	6	designed	design	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	8	experiments	experiment	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	10	wrote	write	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	12	paper	paper	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	14	reviewed	review	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	15	drafts	draft	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	16	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	17	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	18	paper	paper	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	382	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	1	Data	datum	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	2	Availability	availability	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	3	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	4	following	follow	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	5	information	information	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	6	was	be	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	7	supplied	supply	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	8	regarding	regard	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	9	data	datum	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	10	availability	availability	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	11	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	12	Zhao	Zhao	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	14	Jichang	Jichang	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	15	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	16	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	17	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	18	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	19	A	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	20	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	21	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	22	Based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	23	Solution	Solution	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	24	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	25	Fast	fast	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	26	Calculation	Calculation	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	27	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	28	Betweenness	Betweenness	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	29	Centrality	Centrality	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	30	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	31	Large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	32	Weighted	Weighted	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	33	Networks	Networks	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	383	34	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	384	1	figshare	figshare	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	384	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	385	1	https://doi.org/10.6084/m9.figshare.4542405.v2	https://doi.org/10.6084/m9.figshare.4542405.v2	LS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	385	2	REFERENCES	reference	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	385	3	Abedi	Abedi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	385	4	M	M	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	385	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	385	6	Gheisari	Gheisari	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	385	7	Y.	Y.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	386	1	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	386	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	1	Nodes	node	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	2	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	3	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	4	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	5	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	6	protein	protein	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	7	interaction	interaction	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	8	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	9	are	be	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	10	responsible	responsible	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	11	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	12	driving	drive	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	13	signaling	signal	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	14	pathways	pathway	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	15	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	16	diabetic	diabetic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	17	nephropathy	nephropathy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	387	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	388	1	PeerJ	peerj	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	388	2	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	388	3	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	388	4	e1284	e1284	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	388	5	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	388	6	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	388	7	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	388	8	peerj.1284	peerj.1284	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	388	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	1	Bader	Bader	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	2	DA	DA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	4	Meyerhenke	Meyerhenke	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	5	H	H	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	7	Sanders	Sanders	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	8	P	P	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	10	Schulz	Schulz	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	11	C	C	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	13	Kappes	Kappes	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	14	A	A	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	16	Wagner	Wagner	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	17	D.	D.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	18	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	389	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	390	1	Benchmarking	benchmarke	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	390	2	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	390	3	Graph	Graph	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	390	4	Clustering	Clustering	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	390	5	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	390	6	Partitioning	Partitioning	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	390	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	391	1	New	New	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	391	2	York	York	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	391	3	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	391	4	Springer	Springer	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	391	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	391	6	73–82	73–82	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	391	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	392	1	Bader	Bader	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	392	2	DA	DA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	392	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	392	4	Meyerhenke	Meyerhenke	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	392	5	H	H	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	392	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	392	7	Sanders	Sanders	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	392	8	P	P	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	392	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	392	10	Wagner	Wagner	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	392	11	D	D	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	392	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	392	13	eds	eds	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	392	14	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	393	1	2012	2012	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	393	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	394	1	Graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	394	2	partitioning	partitioning	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	394	3	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	394	4	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	394	5	clustering	clustering	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	394	6	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	395	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	395	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	395	3	10th	10th	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	395	4	DIMACS	dimacs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	395	5	Implementation	Implementation	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	395	6	Challenge	Challenge	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	395	7	Workshop	Workshop	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	395	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	395	9	Atlanta	Atlanta	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	395	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	395	11	GA	GA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	395	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	395	13	Georgia	Georgia	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	395	14	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	1	Bansal	Bansal	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	2	M	M	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	4	Belcastro	Belcastro	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	5	V	V	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	7	Ambesi	Ambesi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	9	Impiombato	Impiombato	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	10	A	A	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	12	di	di	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	13	Bernardo	Bernardo	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	14	D.	D.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	15	2007	2007	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	396	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	397	1	How	how	WRB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	397	2	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	397	3	infer	infer	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	397	4	gene	gene	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	397	5	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	397	6	from	from	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	397	7	expression	expression	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	397	8	profiles	profile	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	397	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	398	1	Molecular	Molecular	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	398	2	Systems	Systems	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	398	3	Biology	Biology	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	398	4	3:78	3:78	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	398	5	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	398	6	10.1038	10.1038	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	398	7	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	398	8	msb4100120	msb4100120	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	398	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	399	1	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	399	2	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	399	3	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	399	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	400	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	400	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	400	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	400	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	400	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	400	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	400	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	10	20/23	20/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	11	https://doi.org/10.6084/m9.figshare.4542405.v2	https://doi.org/10.6084/m9.figshare.4542405.v2	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	12	http://dx.doi.org/10.7717/peerj.1284	http://dx.doi.org/10.7717/peerj.1284	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	13	http://dx.doi.org/10.1038/msb4100120	http://dx.doi.org/10.1038/msb4100120	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	14	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	15	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	16	Barabási	Barabási	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	17	A	A	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	18	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	19	L	L	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	20	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	21	Albert	Albert	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	22	R.	R.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	23	1999	1999	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	401	24	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	402	1	Emergence	emergence	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	402	2	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	402	3	scaling	scale	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	402	4	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	402	5	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	402	6	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	402	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	403	1	Science	Science	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	403	2	286(5439):509–512	286(5439):509–512	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	403	3	DOI	doi	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	403	4	10.1126	10.1126	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	403	5	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	403	6	science.286.5439.509	science.286.5439.509	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	403	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	404	1	Barthélemy	Barthélemy	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	404	2	M.	M.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	404	3	2004	2004	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	404	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	405	1	Betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	405	2	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	405	3	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	405	4	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	405	5	complex	complex	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	405	6	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	405	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	1	European	European	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	2	Physical	Physical	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	3	Journal	Journal	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	4	B	B	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	5	38(2):163–168	38(2):163–168	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	6	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	7	10.1140	10.1140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	8	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	9	epjb	epjb	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	10	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	11	e2004	e2004	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	12	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	13	00111	00111	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	14	-	-	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	15	4	4	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	406	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	407	1	Bell	Bell	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	407	2	N	N	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	407	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	407	4	Garland	Garland	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	407	5	M.	M.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	407	6	2009	2009	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	407	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	408	1	Implementing	implement	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	408	2	sparse	sparse	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	408	3	matrix	matrix	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	408	4	–	–	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	408	5	vector	vector	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	408	6	multiplication	multiplication	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	408	7	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	408	8	throughput-	throughput-	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	408	9	oriented	orient	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	408	10	processors	processor	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	408	11	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	3	Proceedings	proceeding	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	6	Conference	Conference	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	7	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	8	High	High	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	9	Performance	Performance	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	10	Computing	Computing	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	11	Networking	Networking	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	13	Storage	Storage	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	14	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	15	Analysis	Analysis	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	16	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	17	SC’09	SC’09	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	18	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	409	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	410	1	New	New	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	410	2	York	York	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	410	3	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	410	4	ACM	ACM	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	410	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	410	6	18:1–18:11	18:1–18:11	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	410	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	411	1	Brandes	Brandes	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	411	2	U.	U.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	412	1	2001	2001	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	412	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	413	1	A	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	413	2	faster	fast	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	413	3	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	413	4	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	413	5	betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	413	6	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	413	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	414	1	Journal	Journal	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	414	2	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	414	3	Mathematical	Mathematical	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	414	4	Sociology	Sociology	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	414	5	25(2):163–177	25(2):163–177	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	414	6	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	415	1	Cong	Cong	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	415	2	G	G	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	415	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	415	4	Bader	Bader	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	415	5	DA	DA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	415	6	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	416	1	2005	2005	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	416	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	417	1	An	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	417	2	experimental	experimental	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	417	3	study	study	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	417	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	417	5	parallel	parallel	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	417	6	biconnected	biconnecte	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	417	7	components	component	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	417	8	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	417	9	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	417	10	symmetric	symmetric	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	417	11	multiprocessors	multiprocessor	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	417	12	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	417	13	SMPs	SMPs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	417	14	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	417	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	3	19th	19th	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	4	IEEE	IEEE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	5	International	International	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	6	Parallel	Parallel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	7	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	8	Distributed	Distributed	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	9	Processing	Processing	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	10	Symposium	Symposium	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	12	Denver	Denver	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	13	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	14	CO	CO	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	16	USA	USA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	418	17	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	419	1	Washington	Washington	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	419	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	419	3	D.C.	D.C.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	419	4	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	419	5	IEEE	IEEE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	419	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	419	7	45b	45b	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	419	8	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	420	1	Davidson	Davidson	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	420	2	A	A	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	420	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	420	4	Baxter	Baxter	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	420	5	S	S	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	420	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	420	7	Garland	Garland	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	420	8	M	M	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	420	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	420	10	Owens	Owens	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	420	11	JD	JD	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	420	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	421	1	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	421	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	422	1	Work	work	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	422	2	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	422	3	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	422	4	parallel	parallel	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	422	5	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	422	6	methods	method	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	422	7	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	422	8	single	single	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	422	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	422	10	source	source	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	422	11	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	422	12	paths	path	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	422	13	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	3	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	4	IEEE	IEEE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	5	28th	28th	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	6	International	International	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	7	Parallel	Parallel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	8	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	9	Distributed	Distributed	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	10	Processing	Processing	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	11	Symposium	Symposium	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	13	Phoenix	Phoenix	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	15	AZ	AZ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	17	USA	USA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	423	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	424	1	Washington	Washington	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	424	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	424	3	D.C.	D.C.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	424	4	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	424	5	IEEE	IEEE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	424	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	424	7	349–359	349–359	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	424	8	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	425	1	De	De	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	425	2	Domenico	Domenico	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	425	3	M	M	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	425	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	425	5	Lima	Lima	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	425	6	A	A	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	425	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	425	8	Mougel	Mougel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	425	9	P	P	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	425	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	425	11	Musolesi	Musolesi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	425	12	M.	M.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	425	13	2013	2013	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	425	14	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	426	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	426	2	anatomy	anatomy	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	426	3	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	426	4	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	426	5	scientific	scientific	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	426	6	rumor	rumor	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	426	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	427	1	Scientific	Scientific	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	427	2	Reports	report	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	427	3	3(1):2980	3(1):2980	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	427	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	427	5	10.1038	10.1038	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	427	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	427	7	srep02980	srep02980	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	427	8	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	428	1	Delling	delle	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	428	2	D	D	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	428	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	428	4	Goldberg	Goldberg	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	428	5	AV	AV	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	428	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	428	7	Nowatzyk	Nowatzyk	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	428	8	A	A	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	428	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	428	10	Werneck	Werneck	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	428	11	RF	RF	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	428	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	429	1	2011	2011	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	429	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	430	1	PHAST	phast	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	430	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	430	3	hardware	hardware	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	430	4	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	430	5	accelerated	accelerate	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	430	6	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	430	7	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	430	8	trees	tree	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	430	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	3	Proceedings	proceeding	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	6	2011	2011	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	7	IEEE	IEEE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	8	International	International	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	9	Parallel	Parallel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	10	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	11	Distributed	distribute	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	12	Processing	Processing	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	13	Symposium	Symposium	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	14	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	15	IPDPS’11	IPDPS’11	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	16	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	431	17	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	432	1	Washington	Washington	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	432	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	432	3	DC	DC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	432	4	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	432	5	IEEE	IEEE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	432	6	Computer	Computer	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	432	7	Society	Society	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	432	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	432	9	921–931	921–931	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	432	10	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	433	1	Dijkstra	Dijkstra	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	433	2	EW	EW	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	433	3	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	434	1	1959	1959	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	434	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	435	1	A	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	435	2	note	note	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	435	3	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	435	4	two	two	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	435	5	problems	problem	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	435	6	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	435	7	connexion	connexion	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	435	8	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	435	9	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	435	10	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	436	1	Numerische	Numerische	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	436	2	Mathematik	Mathematik	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	436	3	1(1):269–271	1(1):269–271	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	436	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	436	5	10.1007	10.1007	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	436	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	436	7	bf01386390	bf01386390	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	436	8	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	437	1	Erdös	Erdös	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	437	2	P	P	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	437	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	437	4	Rényi	Rényi	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	437	5	A.	a.	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	438	1	1959	1959	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	438	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	439	1	On	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	439	2	random	random	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	439	3	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	439	4	I.	i.	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	439	5	Publicationes	publicatione	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	439	6	Mathematicae	Mathematicae	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	439	7	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	439	8	Debrecen	Debrecen	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	439	9	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	439	10	6:290–297	6:290–297	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	439	11	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	440	1	Floyd	Floyd	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	440	2	RW	RW	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	440	3	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	441	1	1962	1962	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	441	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	442	1	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	442	2	97	97	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	442	3	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	442	4	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	442	5	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	442	6	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	443	1	Communications	communication	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	443	2	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	443	3	ACM	ACM	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	443	4	5(6):345	5(6):345	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	443	5	DOI	doi	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	443	6	10.1145/367766.368168	10.1145/367766.368168	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	443	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	444	1	Freeman	Freeman	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	444	2	LC	LC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	444	3	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	445	1	1977	1977	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	445	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	446	1	A	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	446	2	set	set	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	446	3	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	446	4	measures	measure	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	446	5	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	446	6	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	446	7	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	446	8	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	446	9	betweenness	betweenness	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	446	10	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	447	1	Sociometry	sociometry	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	447	2	40(1):35–41	40(1):35–41	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	447	3	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	447	4	10.2307/3033543	10.2307/3033543	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	447	5	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	448	1	Girvan	Girvan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	448	2	M	M	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	448	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	448	4	Newman	Newman	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	448	5	MEJ	MEJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	448	6	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	449	1	2002	2002	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	449	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	450	1	Community	community	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	450	2	structure	structure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	450	3	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	450	4	social	social	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	450	5	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	450	6	biological	biological	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	450	7	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	450	8	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	451	1	Proceedings	proceeding	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	451	2	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	451	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	451	4	National	National	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	451	5	Academy	Academy	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	451	6	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	451	7	Sciences	Sciences	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	451	8	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	451	9	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	451	10	United	United	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	451	11	States	States	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	451	12	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	451	13	America	America	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	451	14	99(12):7821–7826	99(12):7821–7826	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	451	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	452	1	Goh	Goh	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	452	2	K	K	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	452	3	-	-	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	452	4	I	I	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	452	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	452	6	Oh	oh	UH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	452	7	E	E	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	452	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	452	9	Kahng	Kahng	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	452	10	B	B	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	452	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	452	12	Kim	Kim	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	452	13	D.	D.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	452	14	2003	2003	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	452	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	453	1	Betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	453	2	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	453	3	correlation	correlation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	453	4	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	453	5	social	social	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	453	6	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	453	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	454	1	Physical	Physical	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	454	2	Review	Review	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	454	3	E	E	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	454	4	67(1):017101	67(1):017101	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	454	5	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	454	6	10.1103	10.1103	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	454	7	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	454	8	physreve.67.017101	physreve.67.017101	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	454	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	455	1	Gregor	Gregor	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	455	2	D	D	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	455	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	455	4	Lumsdaine	Lumsdaine	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	455	5	A.	a.	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	456	1	2005	2005	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	456	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	457	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	457	2	parallel	parallel	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	457	3	bgl	bgl	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	457	4	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	457	5	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	457	6	generic	generic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	457	7	library	library	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	457	8	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	457	9	distributed	distribute	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	457	10	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	457	11	computations	computation	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	457	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	3	Parallel	Parallel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	4	Object	object	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	5	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	6	Oriented	orient	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	7	Scientific	Scientific	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	8	Computing	Computing	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	9	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	10	POOSC	POOSC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	11	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	13	Bloomington	Bloomington	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	15	IN	IN	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	17	USA	USA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	458	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	459	1	Harish	Harish	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	459	2	P	P	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	459	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	459	4	Narayanan	Narayanan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	459	5	PJ	PJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	459	6	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	460	1	2007	2007	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	460	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	461	1	Accelerating	accelerate	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	461	2	Large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	461	3	Graph	Graph	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	461	4	Algorithms	Algorithms	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	461	5	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	461	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	461	7	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	461	8	Using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	461	9	CUDA	CUDA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	461	10	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	462	1	Berlin	Berlin	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	462	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	462	3	Springer	Springer	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	462	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	462	5	197–208	197–208	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	462	6	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	463	1	Hong	Hong	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	463	2	S	S	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	463	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	463	4	Kim	Kim	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	463	5	SK	SK	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	463	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	463	7	Oguntebi	Oguntebi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	463	8	T	T	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	463	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	463	10	Olukotun	Olukotun	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	463	11	K.	K.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	463	12	2011	2011	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	463	13	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	464	1	Accelerating	accelerate	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	464	2	CUDA	CUDA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	464	3	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	464	4	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	464	5	at	at	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	464	6	maximum	maximum	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	464	7	warp	warp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	464	8	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	3	Proceedings	proceeding	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	6	16th	16th	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	7	ACM	ACM	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	8	Symposium	Symposium	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	9	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	10	Principles	Principles	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	11	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	12	Practice	Practice	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	13	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	14	Parallel	Parallel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	15	Programming	Programming	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	16	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	17	PPoPP’11	PPoPP’11	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	18	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	465	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	466	1	New	New	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	466	2	York	York	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	466	3	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	466	4	ACM	ACM	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	466	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	466	6	267–276	267–276	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	466	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	467	1	Jia	Jia	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	467	2	Y	Y	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	467	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	467	4	Lu	Lu	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	467	5	V	V	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	467	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	467	7	Hoberock	Hoberock	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	467	8	J	J	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	467	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	467	10	Garland	Garland	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	467	11	M	M	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	467	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	467	13	Hart	Hart	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	467	14	JC	JC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	467	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	468	1	2011	2011	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	468	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	469	1	Edge	edge	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	469	2	v.	v.	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	469	3	node	node	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	469	4	parallelism	parallelism	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	469	5	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	469	6	graph	graph	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	469	7	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	469	8	metrics	metric	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	469	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	1	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	2	Computing	Computing	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	3	Gems	Gems	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	4	2:15–30	2:15–30	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	5	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	6	10.1016	10.1016	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	7	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	8	b978	b978	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	9	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	10	0	0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	11	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	12	12	12	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	13	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	14	385963	385963	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	15	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	16	1.00002	1.00002	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	17	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	18	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	470	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	471	1	Lee	Lee	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	471	2	M	M	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	471	3	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	471	4	J	J	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	471	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	471	6	Choi	Choi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	471	7	S	S	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	471	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	471	9	Chung	Chung	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	471	10	C	C	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	471	11	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	471	12	W.	W.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	471	13	2016	2016	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	471	14	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	472	1	Efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	472	2	algorithms	algorithm	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	472	3	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	472	4	updating	update	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	472	5	betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	472	6	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	472	7	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	472	8	fully	fully	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	472	9	dynamic	dynamic	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	472	10	graphs	graph	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	472	11	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	473	1	Information	Information	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	473	2	Sciences	Sciences	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	473	3	326(Supplement	326(supplement	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	473	4	C):278–296	C):278–296	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	473	5	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	473	6	10.1016	10.1016	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	473	7	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	473	8	j.ins.2015.07.053	j.ins.2015.07.053	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	473	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	474	1	Leskovec	Leskovec	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	474	2	J	J	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	474	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	474	4	Adamic	Adamic	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	474	5	LA	LA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	474	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	474	7	Huberman	Huberman	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	474	8	BA	BA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	474	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	475	1	2007	2007	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	475	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	476	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	476	2	dynamics	dynamic	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	476	3	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	476	4	viral	viral	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	476	5	marketing	marketing	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	476	6	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	477	1	ACM	ACM	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	477	2	Transactions	Transactions	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	477	3	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	477	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	477	5	Web	web	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	477	6	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	477	7	TWEB	TWEB	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	477	8	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	477	9	1(1):5	1(1):5	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	477	10	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	477	11	10.1145/1232722.1232727	10.1145/1232722.1232727	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	477	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	478	1	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	478	2	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	478	3	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	478	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	479	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	479	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	479	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	479	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	479	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	479	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	479	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	10	21/23	21/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	11	http://dx.doi.org/10.1126/science.286.5439.509	http://dx.doi.org/10.1126/science.286.5439.509	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	12	http://dx.doi.org/10.1140/epjb/e2004-00111-4	http://dx.doi.org/10.1140/epjb/e2004-00111-4	UH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	13	http://dx.doi.org/10.1038/srep02980	http://dx.doi.org/10.1038/srep02980	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	14	http://dx.doi.org/10.1007/bf01386390	http://dx.doi.org/10.1007/bf01386390	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	15	http://dx.doi.org/10.1145/367766.368168	http://dx.doi.org/10.1145/367766.368168	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	16	http://dx.doi.org/10.2307/3033543	http://dx.doi.org/10.2307/3033543	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	17	http://dx.doi.org/10.1103/physreve.67.017101	http://dx.doi.org/10.1103/physreve.67.017101	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	18	http://dx.doi.org/10.1016/b978-0-12-385963-1.00002-2	http://dx.doi.org/10.1016/b978-0-12-385963-1.00002-2	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	19	http://dx.doi.org/10.1016/j.ins.2015.07.053	http://dx.doi.org/10.1016/j.ins.2015.07.053	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	20	http://dx.doi.org/10.1145/1232722.1232727	http://dx.doi.org/10.1145/1232722.1232727	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	21	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	22	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	23	Leskovec	Leskovec	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	24	J	J	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	25	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	26	Chakrabarti	Chakrabarti	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	27	D	D	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	28	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	29	Kleinberg	Kleinberg	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	30	J	J	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	31	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	32	Faloutsos	Faloutsos	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	33	C	C	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	34	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	35	Ghahramani	Ghahramani	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	480	36	Z.	Z.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	481	1	2010	2010	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	481	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	482	1	Kronecker	Kronecker	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	482	2	graphs	graphs	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	482	3	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	482	4	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	482	5	approach	approach	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	482	6	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	482	7	modeling	modeling	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	482	8	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	482	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	483	1	Journal	Journal	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	483	2	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	483	3	Machine	Machine	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	483	4	Learning	Learning	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	483	5	Research	Research	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	483	6	11:985–1042	11:985–1042	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	483	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	484	1	Leskovec	Leskovec	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	484	2	J	J	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	484	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	484	4	Krevl	Krevl	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	484	5	A.	A.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	485	1	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	485	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	486	1	SNAP	SNAP	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	486	2	datasets	dataset	VBZ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	486	3	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	486	4	Stanford	Stanford	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	486	5	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	486	6	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	486	7	dataset	dataset	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	486	8	collection	collection	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	486	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	487	1	Available	available	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	487	2	at	at	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	487	3	http://snap.stanford.edu/data	http://snap.stanford.edu/data	ADD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	487	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	488	1	Leydesdorff	Leydesdorff	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	488	2	L.	L.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	488	3	2007	2007	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	488	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	489	1	Betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	489	2	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	489	3	as	as	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	489	4	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	489	5	indicator	indicator	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	489	6	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	489	7	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	489	8	interdisciplinarity	interdisciplinarity	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	489	9	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	489	10	scientific	scientific	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	489	11	journals	journal	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	489	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	1	Journal	Journal	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	2	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	3	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	4	American	American	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	5	Society	Society	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	6	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	7	Information	Information	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	8	Science	Science	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	9	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	10	Technology	Technology	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	11	58(9):1303–1319	58(9):1303–1319	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	12	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	13	10.1002	10.1002	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	14	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	15	asi.20614	asi.20614	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	490	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	491	1	Ma	Ma	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	491	2	X	X	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	491	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	491	4	Sayama	Sayama	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	491	5	H.	H.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	491	6	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	491	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	492	1	Mental	mental	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	492	2	disorder	disorder	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	492	3	recovery	recovery	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	492	4	correlated	correlate	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	492	5	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	492	6	centralities	centrality	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	492	7	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	492	8	interactions	interaction	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	492	9	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	492	10	an	an	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	492	11	online	online	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	492	12	social	social	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	492	13	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	492	14	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	493	1	PeerJ	peerj	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	493	2	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	493	3	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	493	4	e1163	e1163	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	493	5	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	493	6	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	493	7	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	493	8	peerj.1163	peerj.1163	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	493	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	494	1	Martin	Martin	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	494	2	PJ	PJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	494	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	494	4	Torres	Torres	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	494	5	R	R	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	494	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	494	7	Gavilanes	Gavilanes	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	494	8	A.	A.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	495	1	2009	2009	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	495	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	496	1	Cuda	Cuda	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	496	2	solutions	solution	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	496	3	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	496	4	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	496	5	SSSP	sssp	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	496	6	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	496	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	3	Proceedings	proceeding	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	6	9th	9th	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	7	International	International	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	8	Conference	Conference	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	9	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	10	Computational	Computational	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	11	Science	Science	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	12	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	13	Part	part	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	14	I	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	15	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	16	ICCS’09	ICCS’09	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	17	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	497	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	498	1	Berlin	Berlin	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	498	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	498	3	Springer	Springer	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	498	4	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	498	5	Verlag	Verlag	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	498	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	498	7	904–913	904–913	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	498	8	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	499	1	McLaughlin	McLaughlin	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	499	2	A	A	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	499	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	499	4	Bader	Bader	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	499	5	DA	DA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	499	6	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	500	1	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	500	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	501	1	Scalable	scalable	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	501	2	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	501	3	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	501	4	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	501	5	betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	501	6	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	501	7	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	501	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	501	9	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	501	10	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	3	Proceedings	Proceedings	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	6	International	International	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	7	Conference	Conference	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	8	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	9	High	High	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	10	Performance	Performance	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	11	Computing	Computing	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	13	Networking	Networking	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	15	Storage	Storage	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	16	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	17	Analysis	Analysis	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	18	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	19	SC’14	SC’14	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	20	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	502	21	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	503	1	Piscataway	piscataway	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	503	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	503	3	IEEE	IEEE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	503	4	Press	Press	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	503	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	503	6	572–583	572–583	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	503	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	504	1	McLaughlin	McLaughlin	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	504	2	A	A	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	504	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	504	4	Bader	Bader	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	504	5	DA	DA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	504	6	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	505	1	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	505	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	506	1	Fast	fast	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	506	2	execution	execution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	506	3	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	506	4	simultaneous	simultaneous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	506	5	breadth	breadth	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	506	6	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	506	7	first	first	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	506	8	searches	search	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	506	9	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	506	10	sparse	sparse	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	506	11	graphs	graphs	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	506	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	3	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	4	IEEE	IEEE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	5	21st	21st	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	6	International	International	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	7	Conference	Conference	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	8	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	9	Parallel	Parallel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	10	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	11	Distributed	Distributed	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	12	Systems	Systems	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	13	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	14	ICPADS	ICPADS	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	15	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	17	Melbourne	Melbourne	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	18	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	19	VIC	VIC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	20	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	21	Australia	Australia	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	507	22	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	508	1	Washington	Washington	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	508	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	508	3	D.C.	D.C.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	508	4	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	508	5	IEEE	IEEE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	508	6	Computer	Computer	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	508	7	Society	Society	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	508	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	508	9	9–18	9–18	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	508	10	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	509	1	Merrill	Merrill	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	509	2	D	D	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	509	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	509	4	Garland	Garland	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	509	5	M	M	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	509	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	509	7	Grimshaw	Grimshaw	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	509	8	A.	A.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	510	1	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	510	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	511	1	High	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	511	2	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	511	3	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	511	4	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	511	5	scalable	scalable	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	511	6	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	511	7	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	511	8	traversal	traversal	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	511	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	512	1	ACM	ACM	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	512	2	Transactions	transaction	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	512	3	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	512	4	Parallel	Parallel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	512	5	Computing	Computing	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	512	6	1(2):1–30	1(2):1–30	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	512	7	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	512	8	10.1145/2717511	10.1145/2717511	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	512	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	513	1	Mitchell	Mitchell	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	513	2	R	R	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	513	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	513	4	Frank	Frank	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	513	5	E.	E.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	513	6	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	513	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	514	1	Accelerating	accelerate	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	514	2	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	514	3	XGBoost	XGBoost	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	514	4	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	514	5	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	514	6	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	514	7	computing	compute	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	514	8	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	515	1	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	515	2	Computer	Computer	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	515	3	Science	science	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	515	4	3	3	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	515	5	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	515	6	e127	e127	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	515	7	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	515	8	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	515	9	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	515	10	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	515	11	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	515	12	cs.127	cs.127	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	515	13	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	516	1	Motter	Motter	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	516	2	AE	AE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	516	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	516	4	Lai	Lai	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	516	5	Y	Y	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	516	6	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	516	7	C.	C.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	516	8	2002	2002	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	516	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	517	1	Cascade	cascade	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	517	2	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	517	3	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	517	4	attacks	attack	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	517	5	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	517	6	complex	complex	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	517	7	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	517	8	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	518	1	Physical	Physical	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	518	2	Review	Review	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	518	3	E	E	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	518	4	66(6):065102	66(6):065102	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	518	5	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	518	6	10.1103	10.1103	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	518	7	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	518	8	physreve.66.065102	physreve.66.065102	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	518	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	519	1	Nasre	Nasre	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	519	2	M	M	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	519	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	519	4	Pontecorvi	Pontecorvi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	519	5	M	M	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	519	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	519	7	Ramachandran	Ramachandran	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	519	8	V.	V.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	519	9	2014	2014	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	519	10	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	520	1	Betweenness	Betweenness	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	520	2	Centrality	Centrality	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	520	3	—	—	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	520	4	Incremental	Incremental	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	520	5	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	520	6	Faster	Faster	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	520	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	521	1	Berlin	Berlin	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	521	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	521	3	Springer	Springer	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	521	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	521	5	577–588	577–588	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	521	6	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	522	1	Ortega	Ortega	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	522	2	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	522	3	Arranz	Arranz	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	522	4	H	H	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	522	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	522	6	Torres	Torres	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	522	7	Y	Y	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	522	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	522	9	Llanos	Llanos	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	522	10	DR	DR	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	522	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	522	12	Gonzalez	Gonzalez	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	522	13	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	522	14	Escribano	Escribano	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	522	15	A.	a.	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	523	1	2013	2013	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	523	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	524	1	A	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	524	2	new	new	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	524	3	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	524	4	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	524	5	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	524	6	approach	approach	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	524	7	to	to	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	524	8	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	524	9	shortest	short	JJS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	524	10	path	path	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	524	11	problem	problem	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	524	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	3	2013	2013	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	4	International	International	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	5	Conference	Conference	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	6	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	7	High	High	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	8	Performance	Performance	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	9	Computing	Computing	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	10	Simulation	Simulation	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	11	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	12	HPCS	HPCS	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	13	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	15	Helsinki	Helsinki	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	17	Finland	Finland	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	525	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	526	1	Washington	Washington	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	526	2	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	526	3	D.C.	D.C.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	526	4	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	526	5	IEEE	IEEE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	526	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	526	7	505–511	505–511	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	526	8	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	1	Palla	palla	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	2	G	g	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	4	Farkas	Farkas	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	5	IJ	IJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	7	Pollner	Pollner	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	8	P	P	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	10	Derényi	Derényi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	11	I	-PRON-	PRP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	13	Vicsek	Vicsek	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	14	T.	T.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	15	2008	2008	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	527	16	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	528	1	Fundamental	fundamental	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	528	2	statistical	statistical	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	528	3	features	feature	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	528	4	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	528	5	self	self	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	528	6	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	528	7	similar	similar	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	528	8	properties	property	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	528	9	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	528	10	tagged	tag	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	528	11	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	528	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	529	1	New	New	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	529	2	Journal	Journal	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	529	3	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	529	4	Physics	Physics	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	529	5	10(12):123026	10(12):123026	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	529	6	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	529	7	10.1088/1367	10.1088/1367	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	529	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	529	9	2630/10/12/123026	2630/10/12/123026	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	529	10	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	530	1	Rossi	Rossi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	530	2	RA	RA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	530	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	530	4	Ahmed	Ahmed	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	530	5	NK	NK	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	530	6	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	531	1	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	531	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	532	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	532	2	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	532	3	data	data	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	532	4	repository	repository	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	532	5	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	532	6	interactive	interactive	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	532	7	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	532	8	analytics	analytic	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	532	9	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	532	10	visualization	visualization	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	532	11	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	3	Proceedings	Proceedings	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	6	Twenty	Twenty	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	7	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	8	Ninth	Ninth	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	9	AAAI	AAAI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	10	Conference	Conference	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	11	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	12	Artificial	Artificial	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	13	Intelligence	Intelligence	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	14	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	15	Austin	Austin	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	16	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	17	Texas	Texas	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	533	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	534	1	Palo	Palo	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	534	2	Alto	Alto	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	534	3	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	534	4	Association	Association	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	534	5	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	534	6	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	534	7	Advancement	Advancement	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	534	8	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	534	9	Artificial	Artificial	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	534	10	Intelligence	Intelligence	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	534	11	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	535	1	Sariyüce	Sariyüce	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	535	2	AE	AE	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	535	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	535	4	Kaya	Kaya	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	535	5	K	K	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	535	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	535	7	Saule	Saule	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	535	8	E	E	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	535	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	535	10	Çatalyürek	çatalyürek	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	535	11	UV	UV	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	535	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	536	1	2013	2013	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	536	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	537	1	Betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	537	2	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	537	3	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	537	4	GPUs	gpu	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	537	5	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	537	6	heterogeneous	heterogeneous	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	537	7	architectures	architecture	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	537	8	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	3	Proceedings	proceeding	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	6	Sixth	Sixth	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	7	Workshop	Workshop	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	8	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	9	General	General	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	10	Purpose	Purpose	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	11	Processor	Processor	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	12	Using	Using	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	13	Graphics	Graphics	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	14	Processing	Processing	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	15	Units	Units	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	16	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	17	GPGPU-6	GPGPU-6	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	18	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	538	19	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	539	1	New	New	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	539	2	York	York	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	539	3	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	539	4	ACM	ACM	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	539	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	539	6	76–85	76–85	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	539	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	540	1	Shi	Shi	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	540	2	Z	Z	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	540	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	540	4	Zhang	Zhang	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	540	5	B.	B.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	541	1	2011	2011	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	541	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	542	1	Fast	fast	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	542	2	network	network	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	542	3	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	542	4	analysis	analysis	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	542	5	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	542	6	GPUs	gpu	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	542	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	543	1	BMC	BMC	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	543	2	Bioinformatics	Bioinformatics	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	543	3	12(1):149	12(1):149	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	543	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	543	5	10.1186/1471	10.1186/1471	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	543	6	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	543	7	2105	2105	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	543	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	543	9	12	12	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	543	10	-	-	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	543	11	149	149	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	543	12	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	544	1	Siek	Siek	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	544	2	JG	JG	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	544	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	544	4	Lee	Lee	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	544	5	L	L	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	544	6	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	544	7	Q	Q	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	544	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	544	9	Lumsdaine	Lumsdaine	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	544	10	A.	A.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	545	1	2001	2001	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	545	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	546	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	546	2	Boost	Boost	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	546	3	Graph	Graph	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	546	4	Library	Library	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	546	5	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	546	6	User	User	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	546	7	Guide	Guide	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	546	8	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	546	9	Reference	Reference	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	546	10	Manual	Manual	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	546	11	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	546	12	Portable	portable	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	546	13	Documents	document	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	546	14	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	547	1	Upper	Upper	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	547	2	Saddle	Saddle	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	547	3	River	River	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	547	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	547	5	New	New	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	547	6	Jersey	Jersey	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	547	7	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	547	8	Pearson	Pearson	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	547	9	Education	Education	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	547	10	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	548	1	Singh	singh	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	548	2	RR	RR	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	548	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	548	4	Goel	Goel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	548	5	K	K	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	548	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	548	7	Iyengar	Iyengar	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	548	8	SRS	SRS	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	548	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	548	10	Gupta	Gupta	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	548	11	S.	S.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	548	12	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	548	13	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	549	1	A	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	549	2	faster	fast	JJR
work_uz5h6qoj2bhtlc5p3xsqkevrpq	549	3	algorithm	algorithm	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	549	4	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	549	5	update	update	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	549	6	betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	549	7	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	549	8	after	after	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	549	9	node	node	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	549	10	alteration	alteration	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	549	11	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	550	1	Internet	internet	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	550	2	Mathematics	mathematics	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	550	3	11(4–5):403–420	11(4–5):403–420	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	550	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	550	5	10.1080/15427951.2014.982311	10.1080/15427951.2014.982311	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	550	6	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	551	1	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	551	2	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	551	3	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	551	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	552	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	552	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	552	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	552	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	552	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	552	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	552	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	10	22/23	22/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	11	http://snap.stanford.edu/data	http://snap.stanford.edu/data	ADD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	12	http://dx.doi.org/10.1002/asi.20614	http://dx.doi.org/10.1002/asi.20614	UH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	13	http://dx.doi.org/10.7717/peerj.1163	http://dx.doi.org/10.7717/peerj.1163	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	14	http://dx.doi.org/10.1145/2717511	http://dx.doi.org/10.1145/2717511	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	15	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	16	http://dx.doi.org/10.1103/physreve.66.065102	http://dx.doi.org/10.1103/physreve.66.065102	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	17	http://dx.doi.org/10.1088/1367-2630/10/12/123026	http://dx.doi.org/10.1088/1367-2630/10/12/123026	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	18	http://dx.doi.org/10.1186/1471-2105-12-149	http://dx.doi.org/10.1186/1471-2105-12-149	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	19	http://dx.doi.org/10.1080/15427951.2014.982311	http://dx.doi.org/10.1080/15427951.2014.982311	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	20	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	21	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	22	Solomonik	Solomonik	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	23	E	E	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	24	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	25	Besta	Besta	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	26	M	M	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	27	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	28	Vella	Vella	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	29	F	F	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	30	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	31	Hoefler	Hoefler	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	32	T.	T.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	33	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	553	34	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	554	1	Scaling	scale	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	554	2	betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	554	3	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	554	4	using	use	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	554	5	communication	communication	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	554	6	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	554	7	efficient	efficient	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	554	8	sparse	sparse	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	554	9	matrix	matrix	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	554	10	multiplication	multiplication	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	554	11	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	555	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	555	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	555	3	Jackie	Jackie	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	555	4	K	K	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	555	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	555	6	ed	ed	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	555	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	1	The	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	2	International	International	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	3	Conference	Conference	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	4	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	5	High	High	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	6	Performance	Performance	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	7	Computing	Computing	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	8	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	9	Networking	Networking	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	10	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	11	Storage	Storage	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	12	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	13	Analysis	Analysis	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	14	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	15	s	s	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	16	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	17	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	18	Denver	Denver	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	19	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	20	CO	CO	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	21	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	22	USA	USA	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	556	23	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	557	1	New	New	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	557	2	York	York	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	557	3	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	557	4	ACM	ACM	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	557	5	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	1	Wang	Wang	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	2	Y	Y	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	4	Davidson	Davidson	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	5	A	A	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	7	Pan	Pan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	8	Y	Y	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	10	Wu	Wu	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	11	Y	Y	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	13	Riffel	Riffel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	14	A	A	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	16	Owens	Owens	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	17	JD	JD	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	558	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	559	1	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	559	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	560	1	Gunrock	gunrock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	560	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	560	3	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	560	4	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	560	5	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	560	6	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	560	7	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	560	8	processing	processing	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	560	9	library	library	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	560	10	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	560	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	560	12	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	560	13	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	3	Proceedings	proceeding	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	6	20th	20th	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	7	ACM	ACM	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	8	SIGPLAN	SIGPLAN	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	9	Symposium	Symposium	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	10	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	11	Principles	Principles	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	12	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	13	Practice	Practice	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	14	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	15	Parallel	Parallel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	16	Programming	Programming	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	17	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	18	PPoPP	PPoPP	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	19	2015	2015	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	20	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	561	21	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	562	1	New	New	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	562	2	York	York	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	562	3	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	562	4	ACM	ACM	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	562	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	562	6	265–266	265–266	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	562	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	1	Wang	Wang	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	2	Y	Y	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	4	Davidson	Davidson	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	5	A	A	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	6	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	7	Pan	Pan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	8	Y	Y	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	9	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	10	Wu	Wu	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	11	Y	Y	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	12	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	13	Riffel	Riffel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	14	A	A	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	15	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	16	Owens	Owens	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	17	JD	JD	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	563	18	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	564	1	2016	2016	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	564	2	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	565	1	Gunrock	gunrock	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	565	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	565	3	a	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	565	4	high	high	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	565	5	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	565	6	performance	performance	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	565	7	graph	graph	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	565	8	processing	processing	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	565	9	library	library	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	565	10	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	565	11	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	565	12	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	565	13	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	1	In	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	2	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	3	Proceedings	proceeding	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	4	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	5	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	6	21st	21st	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	7	ACM	ACM	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	8	SIGPLAN	SIGPLAN	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	9	Symposium	Symposium	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	10	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	11	Principles	Principles	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	12	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	13	Practice	Practice	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	14	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	15	Parallel	Parallel	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	16	Programming	Programming	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	17	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	18	PPoPP’16	PPoPP’16	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	19	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	566	20	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	567	1	New	New	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	567	2	York	York	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	567	3	:	:	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	567	4	ACM	ACM	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	567	5	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	567	6	11:1	11:1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	567	7	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	567	8	11:12	11:12	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	567	9	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	568	1	Fan	Fan	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	568	2	et	et	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	568	3	al	al	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	568	4	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	569	1	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	569	2	2017	2017	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	569	3	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	569	4	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	569	5	PeerJ	PeerJ	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	569	6	Comput	Comput	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	569	7	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	1	Sci	Sci	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	2	.	.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	3	,	,	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	4	DOI	DOI	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	5	10.7717	10.7717	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	6	/	/	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	7	peerj	peerj	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	8	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	9	cs.140	cs.140	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	10	23/23	23/23	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	11	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	12	http://dx.doi.org/10.7717/peerj-cs.140	http://dx.doi.org/10.7717/peerj-cs.140	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	13	A	a	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	14	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	15	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	16	based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	17	solution	solution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	18	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	19	fast	fast	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	20	calculation	calculation	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	21	of	of	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	22	the	the	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	23	betweenness	betweenness	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	24	centrality	centrality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	25	in	in	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	26	large	large	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	27	weighted	weighted	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	28	networks	network	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	29	Introduction	Introduction	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	30	Background	Background	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	31	Related	Related	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	32	Work	Work	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	33	GPU	GPU	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	34	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	35	Based	base	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	36	Algorithm	Algorithm	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	37	Experiments	Experiments	NNPS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	38	Conclusion	Conclusion	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	39	References	reference	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	40	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	41	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	42	/ASCII85EncodePages	/ASCII85EncodePages	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	43	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	44	/AllowTransparency	/allowtransparency	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	45	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	46	/AutoPositionEPSFiles	/AutoPositionEPSFiles	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	47	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	48	/AutoRotatePages	/AutoRotatePages	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	49	/None	/None	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	50	/Binding	/Binding	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	51	/Left	/Left	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	52	/CalGrayProfile	/CalGrayProfile	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	53	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	54	Dot	dot	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	55	Gain	Gain	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	56	20	20	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	57	%	%	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	58	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	59	/CalRGBProfile	/CalRGBProfile	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	60	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	61	sRGB	srgb	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	62	IEC61966	IEC61966	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	63	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	64	2.1	2.1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	65	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	66	/CalCMYKProfile	/CalCMYKProfile	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	67	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	570	68	U.S.	U.S.	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	1	Web	web	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	2	Coated	Coated	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	3	\050SWOP\051	\050SWOP\051	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	4	v2	v2	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	5	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	6	/sRGBProfile	/sRGBProfile	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	7	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	8	sRGB	srgb	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	9	IEC61966	IEC61966	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	10	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	11	2.1	2.1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	12	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	13	/CannotEmbedFontPolicy	/CannotEmbedFontPolicy	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	14	/Warning	/Warning	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	15	/CompatibilityLevel	/compatibilitylevel	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	16	1.4	1.4	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	17	/CompressObjects	/CompressObjects	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	18	/Off	/Off	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	19	/CompressPages	/CompressPages	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	20	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	21	/ConvertImagesToIndexed	/ConvertImagesToIndexed	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	22	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	23	/PassThroughJPEGImages	/PassThroughJPEGImages	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	24	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	25	/CreateJobTicket	/createjobticket	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	26	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	27	/DefaultRenderingIntent	/DefaultRenderingIntent	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	28	/Default	/Default	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	29	/DetectBlends	/DetectBlends	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	30	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	31	/DetectCurves	/DetectCurves	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	32	0.0000	0.0000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	33	/ColorConversionStrategy	/ColorConversionStrategy	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	34	/LeaveColorUnchanged	/LeaveColorUnchanged	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	35	/DoThumbnails	/DoThumbnails	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	36	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	37	/EmbedAllFonts	/embedallfont	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	38	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	39	/EmbedOpenType	/EmbedOpenType	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	40	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	41	/ParseICCProfilesInComments	/ParseICCProfilesInComments	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	42	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	43	/EmbedJobOptions	/embedjoboption	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	44	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	45	/DSCReportingLevel	/DSCReportingLevel	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	46	0	0	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	47	/EmitDSCWarnings	/EmitDSCWarnings	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	48	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	49	/EndPage	/endpage	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	50	-1	-1	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	51	/ImageMemory	/imagememory	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	52	1048576	1048576	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	53	/LockDistillerParams	/lockdistillerparams	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	54	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	55	/MaxSubsetPct	/MaxSubsetPct	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	56	100	100	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	57	/Optimize	/optimize	VBP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	58	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	59	/OPM	/OPM	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	60	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	61	/ParseDSCComments	/ParseDSCComments	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	62	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	63	/ParseDSCCommentsForDocInfo	/ParseDSCCommentsForDocInfo	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	64	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	65	/PreserveCopyPage	/PreserveCopyPage	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	66	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	67	/PreserveDICMYKValues	/PreserveDICMYKValues	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	68	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	69	/PreserveEPSInfo	/PreserveEPSInfo	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	70	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	71	/PreserveFlatness	/PreserveFlatness	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	72	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	73	/PreserveHalftoneInfo	/preservehalftoneinfo	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	74	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	75	/PreserveOPIComments	/PreserveOPIComments	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	76	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	77	/PreserveOverprintSettings	/PreserveOverprintSettings	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	78	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	79	/StartPage	/StartPage	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	80	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	81	/SubsetFonts	/subsetfonts	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	82	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	83	/TransferFunctionInfo	/TransferFunctionInfo	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	84	/Apply	/apply	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	85	/UCRandBGInfo	/UCRandBGInfo	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	86	/Preserve	/Preserve	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	87	/UsePrologue	/UsePrologue	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	88	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	89	/ColorSettingsFile	/ColorSettingsFile	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	90	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	91	None	none	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	92	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	93	/AlwaysEmbed	/alwaysembed	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	94	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	95	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	96	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	97	/NeverEmbed	/neverembe	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	98	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	99	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	100	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	101	/AntiAliasColorImages	/AntiAliasColorImages	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	102	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	103	/CropColorImages	/cropcolorimage	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	104	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	105	/ColorImageMinResolution	/colorimageminresolution	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	106	300	300	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	107	/ColorImageMinResolutionPolicy	/colorimageminresolutionpolicy	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	108	/OK	/OK	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	109	/DownsampleColorImages	/DownsampleColorImages	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	110	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	111	/ColorImageDownsampleType	/ColorImageDownsampleType	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	112	/Average	/Average	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	113	/ColorImageResolution	/ColorImageResolution	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	114	300	300	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	115	/ColorImageDepth	/colorimagedepth	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	116	8	8	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	117	/ColorImageMinDownsampleDepth	/colorimagemindownsampledepth	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	118	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	119	/ColorImageDownsampleThreshold	/colorimagedownsamplethreshold	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	120	1.50000	1.50000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	121	/EncodeColorImages	/EncodeColorImages	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	122	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	123	/ColorImageFilter	/ColorImageFilter	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	124	/FlateEncode	/FlateEncode	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	125	/AutoFilterColorImages	/AutoFilterColorImages	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	126	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	127	/ColorImageAutoFilterStrategy	/ColorImageAutoFilterStrategy	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	128	/JPEG	/JPEG	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	129	/ColorACSImageDict	/ColorACSImageDict	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	130	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	131	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	132	/QFactor	/qfactor	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	133	0.15	0.15	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	134	/HSamples	/HSamples	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	135	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	136	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	137	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	138	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	139	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	140	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	141	/VSamples	/VSamples	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	142	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	143	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	144	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	145	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	146	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	147	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	148	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	149	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	150	/ColorImageDict	/ColorImageDict	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	151	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	152	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	153	/QFactor	/qfactor	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	154	0.15	0.15	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	155	/HSamples	/HSamples	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	156	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	157	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	158	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	159	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	160	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	161	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	162	/VSamples	/VSamples	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	163	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	164	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	165	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	166	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	167	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	168	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	169	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	170	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	171	/JPEG2000ColorACSImageDict	/JPEG2000ColorACSImageDict	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	172	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	173	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	174	/TileWidth	/TileWidth	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	175	256	256	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	176	/TileHeight	/tileheight	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	177	256	256	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	178	/Quality	/quality	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	179	30	30	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	180	>	>	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	181	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	182	/JPEG2000ColorImageDict	/JPEG2000ColorImageDict	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	183	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	184	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	185	/TileWidth	/TileWidth	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	186	256	256	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	187	/TileHeight	/tileheight	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	188	256	256	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	189	/Quality	/quality	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	190	30	30	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	191	>	>	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	192	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	193	/AntiAliasGrayImages	/AntiAliasGrayImages	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	194	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	195	/CropGrayImages	/CropGrayImages	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	196	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	197	/GrayImageMinResolution	/GrayImageMinResolution	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	198	300	300	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	199	/GrayImageMinResolutionPolicy	/grayimageminresolutionpolicy	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	200	/OK	/OK	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	201	/DownsampleGrayImages	/DownsampleGrayImages	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	202	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	203	/GrayImageDownsampleType	/GrayImageDownsampleType	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	204	/Average	/average	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	205	/GrayImageResolution	/GrayImageResolution	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	206	300	300	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	207	/GrayImageDepth	/grayimagedepth	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	208	8	8	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	209	/GrayImageMinDownsampleDepth	/grayimagemindownsampledepth	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	210	2	2	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	211	/GrayImageDownsampleThreshold	/grayimagedownsamplethreshold	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	212	1.50000	1.50000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	213	/EncodeGrayImages	/encodegrayimages	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	214	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	215	/GrayImageFilter	/GrayImageFilter	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	216	/FlateEncode	/flateencode	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	217	/AutoFilterGrayImages	/AutoFilterGrayImages	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	218	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	219	/GrayImageAutoFilterStrategy	/grayimageautofilterstrategy	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	220	/JPEG	/JPEG	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	221	/GrayACSImageDict	/GrayACSImageDict	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	222	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	223	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	224	/QFactor	/qfactor	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	225	0.15	0.15	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	226	/HSamples	/HSamples	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	227	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	228	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	229	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	230	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	231	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	232	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	233	/VSamples	/VSamples	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	234	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	235	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	236	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	237	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	238	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	239	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	240	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	241	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	242	/GrayImageDict	/GrayImageDict	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	243	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	244	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	245	/QFactor	/qfactor	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	246	0.15	0.15	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	247	/HSamples	/HSamples	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	248	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	249	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	250	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	251	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	252	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	253	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	254	/VSamples	/VSamples	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	255	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	256	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	257	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	258	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	259	1	1	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	260	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	261	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	262	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	263	/JPEG2000GrayACSImageDict	/JPEG2000GrayACSImageDict	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	264	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	265	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	266	/TileWidth	/TileWidth	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	267	256	256	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	268	/TileHeight	/tileheight	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	269	256	256	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	270	/Quality	/quality	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	271	30	30	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	272	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	273	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	274	/JPEG2000GrayImageDict	/JPEG2000GrayImageDict	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	275	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	276	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	277	/TileWidth	/TileWidth	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	278	256	256	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	279	/TileHeight	/tileheight	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	280	256	256	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	281	/Quality	/quality	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	282	30	30	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	283	>	>	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	284	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	285	/AntiAliasMonoImages	/AntiAliasMonoImages	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	286	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	287	/CropMonoImages	/CropMonoImages	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	288	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	289	/MonoImageMinResolution	/MonoImageMinResolution	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	290	1200	1200	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	291	/MonoImageMinResolutionPolicy	/MonoImageMinResolutionPolicy	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	292	/OK	/OK	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	293	/DownsampleMonoImages	/DownsampleMonoImages	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	294	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	295	/MonoImageDownsampleType	/MonoImageDownsampleType	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	296	/Average	/average	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	297	/MonoImageResolution	/MonoImageResolution	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	298	1200	1200	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	299	/MonoImageDepth	/monoimagedepth	SYM
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	300	-1	-1	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	301	/MonoImageDownsampleThreshold	/MonoImageDownsampleThreshold	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	302	1.50000	1.50000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	303	/EncodeMonoImages	/EncodeMonoImages	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	304	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	305	/MonoImageFilter	/MonoImageFilter	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	306	/CCITTFaxEncode	/CCITTFaxEncode	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	307	/MonoImageDict	/MonoImageDict	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	308	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	309	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	310	/K	/K	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	311	-1	-1	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	312	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	313	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	314	/AllowPSXObjects	/AllowPSXObjects	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	315	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	316	/CheckCompliance	/CheckCompliance	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	317	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	318	/None	/None	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	319	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	320	/PDFX1aCheck	/PDFX1aCheck	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	321	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	322	/PDFX3Check	/PDFX3Check	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	323	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	324	/PDFXCompliantPDFOnly	/PDFXCompliantPDFOnly	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	325	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	326	/PDFXNoTrimBoxError	/PDFXNoTrimBoxError	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	327	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	328	/PDFXTrimBoxToMediaBoxOffset	/PDFXTrimBoxToMediaBoxOffset	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	329	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	330	0.00000	0.00000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	331	0.00000	0.00000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	332	0.00000	0.00000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	333	0.00000	0.00000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	334	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	335	/PDFXSetBleedBoxToMediaBox	/PDFXSetBleedBoxToMediaBox	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	336	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	337	/PDFXBleedBoxToTrimBoxOffset	/PDFXBleedBoxToTrimBoxOffset	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	338	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	339	0.00000	0.00000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	340	0.00000	0.00000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	341	0.00000	0.00000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	342	0.00000	0.00000	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	343	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	344	/PDFXOutputIntentProfile	/PDFXOutputIntentProfile	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	345	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	346	None	none	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	347	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	348	/PDFXOutputConditionIdentifier	/PDFXOutputConditionIdentifier	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	349	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	350	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	351	/PDFXOutputCondition	/PDFXOutputCondition	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	352	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	353	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	354	/PDFXRegistryName	/PDFXRegistryName	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	355	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	356	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	357	/PDFXTrapped	/PDFXTrapped	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	358	/False	/False	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	359	/CreateJDFFile	/CreateJDFFile	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	360	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	361	/Description	/description	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	362	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	363	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	364	/CHS	/CHS	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	365	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	366	FEFF4f7f75288fd94e9b8bbe5b9a521b5efa7684002000500044004600206587686353ef901a8fc7684c976262535370673a548c002000700072006f006f00660065007200208fdb884c9ad88d2891cf62535370300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c676562535f00521b5efa768400200050004400460020658768633002	FEFF4f7f75288fd94e9b8bbe5b9a521b5efa7684002000500044004600206587686353ef901a8fc7684c976262535370673a548c002000700072006f006f00660065007200208fdb884c9ad88d2891cf62535370300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c676562535f00521b5efa768400200050004400460020658768633002	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	367	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	368	/CHT	/CHT	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	369	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	370	FEFF4f7f752890194e9b8a2d7f6e5efa7acb7684002000410064006f006200650020005000440046002065874ef653ef5728684c9762537088686a5f548c002000700072006f006f00660065007200204e0a73725f979ad854c18cea7684521753706548679c300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c4f86958b555f5df25efa7acb76840020005000440046002065874ef63002	FEFF4f7f752890194e9b8a2d7f6e5efa7acb7684002000410064006f006200650020005000440046002065874ef653ef5728684c9762537088686a5f548c002000700072006f006f00660065007200204e0a73725f979ad854c18cea7684521753706548679c300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c4f86958b555f5df25efa7acb76840020005000440046002065874ef63002	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	371	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	372	/DAN	/DAN	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	373	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	374	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	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	375	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	376	/DEU	/DEU	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	377	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	378	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	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	379	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	380	/ESP	/ESP	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	381	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	382	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	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	383	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	384	/FRA	/FRA	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	385	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	386	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	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	387	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	388	/ITA	/ITA	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	389	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	390	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	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	391	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	392	/JPN	/JPN	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	393	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	394	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	FEFF9ad854c18cea51fa529b7528002000410064006f0062006500200050004400460020658766f8306e4f5c6210306b4f7f75283057307e30593002537052376642306e753b8cea3092670059279650306b4fdd306430533068304c3067304d307e3059300230c730b930af30c830c330d730d730ea30f330bf3067306e53705237307e305f306f30d730eb30fc30d57528306b9069305730663044307e305930023053306e8a2d5b9a30674f5c62103055308c305f0020005000440046002030d530a130a430eb306f3001004100630072006f0062006100740020304a30883073002000410064006f00620065002000520065006100640065007200200035002e003000204ee5964d3067958b304f30533068304c3067304d307e30593002	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	395	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	396	/KOR	/KOR	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	397	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	398	FEFFc7740020c124c815c7440020c0acc6a9d558c5ec0020b370c2a4d06cd0d10020d504b9b0d1300020bc0f0020ad50c815ae30c5d0c11c0020ace0d488c9c8b85c0020c778c1c4d560002000410064006f0062006500200050004400460020bb38c11cb97c0020c791c131d569b2c8b2e4002e0020c774b807ac8c0020c791c131b41c00200050004400460020bb38c11cb2940020004100630072006f0062006100740020bc0f002000410064006f00620065002000520065006100640065007200200035002e00300020c774c0c1c5d0c11c0020c5f40020c2180020c788c2b5b2c8b2e4002e	FEFFc7740020c124c815c7440020c0acc6a9d558c5ec0020b370c2a4d06cd0d10020d504b9b0d1300020bc0f0020ad50c815ae30c5d0c11c0020ace0d488c9c8b85c0020c778c1c4d560002000410064006f0062006500200050004400460020bb38c11cb97c0020c791c131d569b2c8b2e4002e0020c774b807ac8c0020c791c131b41c00200050004400460020bb38c11cb2940020004100630072006f0062006100740020bc0f002000410064006f00620065002000520065006100640065007200200035002e00300020c774c0c1c5d0c11c0020c5f40020c2180020c788c2b5b2c8b2e4002e	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	399	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	400	/NLD	/NLD	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	401	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	402	Gebruik	Gebruik	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	403	deze	deze	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	404	instellingen	instellingen	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	405	om	om	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	406	Adobe	Adobe	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	407	PDF	PDF	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	408	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	409	documenten	documenten	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	410	te	te	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	411	maken	maken	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	412	voor	voor	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	413	kwaliteitsafdrukken	kwaliteitsafdrukken	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	414	op	op	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	415	desktopprinters	desktopprinter	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	416	en	en	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	417	proofers	proofer	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	571	418	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	1	De	De	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	2	gemaakte	gemaakte	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	3	PDF	PDF	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	4	-	-	HYPH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	5	documenten	documenten	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	6	kunnen	kunnen	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	7	worden	worden	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	8	geopend	geopend	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	9	met	meet	VBD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	10	Acrobat	Acrobat	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	11	en	en	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	12	Adobe	Adobe	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	13	Reader	Reader	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	14	5.0	5.0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	15	en	en	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	16	hoger	hoger	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	17	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	572	18	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	1	/NOR	/NOR	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	2	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	3	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	feff004200720075006b00200064006900730073006500200069006e006e007300740069006c006c0069006e00670065006e0065002000740069006c002000e50020006f0070007000720065007400740065002000410064006f006200650020005000440046002d0064006f006b0075006d0065006e00740065007200200066006f00720020007500740073006b00720069006600740020006100760020006800f800790020006b00760061006c00690074006500740020007000e500200062006f007200640073006b0072006900760065007200200065006c006c00650072002000700072006f006f006600650072002e0020005000440046002d0064006f006b0075006d0065006e00740065006e00650020006b0061006e002000e50070006e00650073002000690020004100630072006f00620061007400200065006c006c00650072002000410064006f00620065002000520065006100640065007200200035002e003000200065006c006c00650072002000730065006e006500720065002e	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	4	>	>	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	5	/PTB	/PTB	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	6	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	7	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	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	8	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	9	/SUO	/suo	FW
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	10	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	11	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	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	12	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	13	/SVE	/SVE	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	14	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	15	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	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	16	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	17	/ENU	/ENU	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	18	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	19	Use	use	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	20	these	these	DT
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	21	settings	setting	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	22	to	to	TO
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	23	create	create	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	24	Adobe	Adobe	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	25	PDF	PDF	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	26	documents	document	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	27	for	for	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	28	quality	quality	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	29	printing	print	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	30	on	on	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	31	desktop	desktop	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	32	printers	printer	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	33	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	34	proofers	proofer	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	573	35	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	1	Created	create	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	2	PDF	PDF	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	3	documents	document	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	4	can	can	MD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	5	be	be	VB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	6	opened	open	VBN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	7	with	with	IN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	8	Acrobat	Acrobat	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	9	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	10	Adobe	Adobe	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	11	Reader	Reader	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	12	5.0	5.0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	13	and	and	CC
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	14	later	later	RB
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	15	.	.	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	574	16	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	1	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	2	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	3	/Namespace	/namespace	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	4	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	5	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	6	Adobe	Adobe	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	7	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	8	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	9	Common	Common	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	10	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	11	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	12	1.0	1.0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	13	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	14	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	15	/OtherNamespaces	/OtherNamespaces	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	16	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	17	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	18	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	19	/AsReaderSpreads	/AsReaderSpreads	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	20	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	21	/CropImagesToFrames	/CropImagesToFrames	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	22	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	23	/ErrorControl	/ErrorControl	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	24	/WarnAndContinue	/WarnAndContinue	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	25	/FlattenerIgnoreSpreadOverrides	/FlattenerIgnoreSpreadOverrides	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	26	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	27	/IncludeGuidesGrids	/IncludeGuidesGrids	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	28	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	29	/IncludeNonPrinting	/includenonprinte	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	30	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	31	/IncludeSlug	/IncludeSlug	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	32	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	33	/Namespace	/namespace	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	34	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	35	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	36	Adobe	Adobe	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	37	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	38	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	39	InDesign	InDesign	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	40	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	41	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	42	4.0	4.0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	43	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	44	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	45	/OmitPlacedBitmaps	/OmitPlacedBitmaps	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	46	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	47	/OmitPlacedEPS	/OmitPlacedEPS	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	48	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	49	/OmitPlacedPDF	/OmitPlacedPDF	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	50	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	51	/SimulateOverprint	/SimulateOverprint	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	52	/Legacy	/Legacy	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	53	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	54	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	55	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	56	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	57	/AddBleedMarks	/AddBleedMarks	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	58	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	59	/AddColorBars	/AddColorBars	:
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	60	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	61	/AddCropMarks	/AddCropMarks	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	62	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	63	/AddPageInfo	/AddPageInfo	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	64	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	65	/AddRegMarks	/AddRegMarks	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	66	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	67	/ConvertColors	/convertcolors	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	68	/NoConversion	/NoConversion	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	69	/DestinationProfileName	/DestinationProfileName	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	70	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	71	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	72	/DestinationProfileSelector	/DestinationProfileSelector	NFP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	73	/NA	/NA	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	74	/Downsample16BitImages	/Downsample16BitImages	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	75	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	76	/FlattenerPreset	/FlattenerPreset	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	77	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	78	<	<	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	79	/PresetSelector	/presetselector	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	80	/MediumResolution	/MediumResolution	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	81	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	82	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	83	/FormElements	/formelement	NNS
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	84	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	85	/GenerateStructure	/generatestructure	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	86	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	87	/IncludeBookmarks	/IncludeBookmarks	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	88	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	89	/IncludeHyperlinks	/includehyperlinks	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	90	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	91	/IncludeInteractive	/includeinteractive	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	92	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	93	/IncludeLayers	/IncludeLayers	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	94	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	95	/IncludeProfiles	/IncludeProfiles	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	96	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	97	/MultimediaHandling	/multimediahandling	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	98	/UseObjectSettings	/UseObjectSettings	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	99	/Namespace	/Namespace	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	100	[	[	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	101	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	102	Adobe	Adobe	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	103	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	104	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	105	CreativeSuite	CreativeSuite	NNP
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	106	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	107	(	(	-LRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	108	2.0	2.0	CD
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	109	)	)	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	110	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	111	/PDFXOutputIntentProfileSelector	/pdfxoutputintentprofileselector	NN
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	112	/NA	/NA	.
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	113	/PreserveEditing	/preserveedite	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	114	true	true	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	115	/UntaggedCMYKHandling	/untaggedcmykhandling	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	116	/LeaveUntagged	/leaveuntagged	PRP$
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	117	/UntaggedRGBHandling	/untaggedrgbhandle	VBG
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	118	/LeaveUntagged	/leaveuntagged	UH
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	119	/UseDocumentBleed	/UseDocumentBleed	,
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	120	false	false	JJ
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	121	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	122	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	123	]	]	-RRB-
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	124	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	125	>	>	XX
work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	126	setdistillerparams	setdistillerparam	NNS
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work_uz5h6qoj2bhtlc5p3xsqkevrpq	575	129	/HWResolution	/HWResolution	NNP
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