Evaluation of Alternative Centrality Measure Algorithm For Tracking Online Community In Social Network

Network centrality is used to identify the most important/active people at the center of a network or those that are well connected. The tracking of single community in social networks is commonly done using some of the centrality measures employed in social network. The betweenness centrality measures has been used in SCAN (Social Cohesion Analysis of Network) method to track communities in social networks. This paper evaluates new alternative eigenvector centrality measures for tracking community and is more suitable compared to betweenness centrality measures algorithm.