Heirarchy of communities in dynamic social network

Abstract

Discovering the hierarchy of organizational structure can unveil significant patterns that can help in network analysis. In this paper, we used Enron email data which is well-known benchmarked data set for this sort of research domain.We derive a hierarchical structure of organization by calculating the individual score of each person based on their frequency of communication via email using page rank algorithm. After that, a communication graph is plotted that shows power of each individual among themselves. Experimental results showed that this approach was very helpful in identifying primal persons and their persistent links with others over the period of months.