Analysis of Eigenvector Centrality Measurement Algorithm for Tracking Online Communities

The centrality of the network is used to identify the most influential people in a network center or those well connected through a network. Tracking the single community in social networks is usually carried out using some of the key measures used in social networks. The SCAN (Social Cohesion Network Analysis) approach used the centrality measure to track social network communities. This paper introduces new alternative eigenvector centrality measures for group monitoring and is more suitable compared to the centrality measures algorithm for betweenness.