id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-255755-5jccb3nh	Saha, Sovan	Detection of spreader nodes and ranking of interacting edges in Human-SARS-CoV protein interaction network	2020-04-23		.txt	text/plain	3668	212	59	title: Detection of spreader nodes and ranking of interacting edges in Human-SARS-CoV protein interaction network The new network attribute spreadability index along with generated SIS values of selected top spreader nodes when compared with the other network centrality based methodologies like Degree centrality (DC), Closeness centrality (CC), Local average centrality (LAC) and Betweeness centrality (BC) is found to perform relatively better than the existing-state-of-art. In the proposed methodology, Protein-protein interaction network (PPIN) has been used as the central component in identification of spreader nodes in SARS-CoV. Once it is formed, spreader nodes are identified in each of SARS-CoV proteins, its level 1 and level 2 of human network by the application of a new network attribute i.e. spreadability index which is a combination of three terminologies: 1) edge ratio [28] 2) neighborhood density [28] and 3) node weight [29] .	./cache/cord-255755-5jccb3nh.txt	./txt/cord-255755-5jccb3nh.txt