Crisis Management Using Centrality Measurement in Social Networks

Increasing use of IP enabled smart gadgets, rapidly increasing the formation of cyber centric social networks. Any human discussion reflects its emotions and ego centric thoughts among the masses which results the formation of pro and anti-groups. Identification of various categories of groups and communities in social network is very important to eliminate the chances of human created crisis. This paper predicts the migration of individuals from one community to other community and the person who bridges the two communities. The prediction of social networks is carried out by mapping various epidemic models on human created social network. The centrality measurement detects the bridging element between two communities.