Paper Info
Title
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.
Year
DOI
Venue
2012
10.1007/978-81-322-1602-5_84
PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2012)
Keywords
Field
DocType
Dynamic social network analysis,Social network analysis,Hierarchal structure
Page rank,Graph,Social network,Organizational structure,Computer science,sort,Social network analysis,Theoretical computer science,Network analysis,Hierarchy
Conference
Volume
ISSN
Citations 
236
2194-5357
0
PageRank 
References 
Authors
0.34
6
2
Name
Order
Citations
PageRank
S. Mishra100.34
G. C. Nandi27110.28