id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_6iejq5km6bh3fp7caakywxrp5m	Yufan Feng	COMICS: a community property-based triangle motif clustering scheme	2019	22	.pdf	application/pdf	10618	1373	63	high efficient graph partition procedures and triangle motif-based clustering network structures and statistical data with triangle motifs. Keywords Community property, Triangle motif, Large network, Clustering number of the clustered subgraphs from the original large network, and n is the number problem, we combine the graph partition method with the motif-based clustering which are defined as motifs, that is, a set of edges with a small number of nodes. graph partition, we cut the original networks into initial subgraphs under the four clustering procedure, that is, graph partition, modularity refine procedure and motif-based We take the subgraph set of the original network as the input of the motif-based clustering Here, R is the clustering result set, vi is one of the nodes in the subgraph, and w is COMICS: a community property-based triangle motif clustering scheme COMICS: a community property-based triangle motif clustering scheme	./cache/work_6iejq5km6bh3fp7caakywxrp5m.pdf	./txt/work_6iejq5km6bh3fp7caakywxrp5m.txt