期刊名称：International Journal of Computer Science and Network Solutions
印刷版ISSN：2345-3397
出版年度：2014
卷号：2
期号：6
页码：28-34
出版社：International Journal of Computer Science and Network Solutions
摘要：Nowadays, we live in web area. The area through which the formation of various social network, newcommunicative and informing methods are introduced to the widespread social communications. A socialnetwork is a social structure which is made out of individuals and meanwhile, by the pass of time, theanalyzing these social network will gain increasing primacy. In this research, one of the parameters ofsocial network analysis called edge betweenness centrality is introduced. Edge betweenness is an edge tocompute the shortest paths between pair of nodes in the network that passes through it most frequently. Inthis research, to detect the communities through edge betweenness centrality algorithm, a method isintroduced in such a way that each edge by receiving one fuzzy membership degree in the interval [1,0]the measure of its effect on the network will be different. One of the features of this algorithm that makesit distinguished from others is the application of fuzzy logic to detect the communities of social network.Then by introducing the density of each cluster the density measure of the communities graph iscomputed through considering the fuzzy detected structures. The finding of the implementation ofalgorithm indicated that introduced algorithm to compute the density of samples and to detect the numberof mono-nodes while clustering has revealed more accuracy rather than the related works
关键词：social networks; community detecting; community clustering; membership degree; edge;betweenness centrality
