2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)
Transitive Reduction for Social Network Analysis and Visualization
Compi?gne University of Technology, France
September 19-September 22
ISBN: 0-7695-2415-X
In this paper, we will show that transitive reduction can be used in real, large social networks analysis. Transitive reduction is an edge-removing operation on directed graphs, that preserves some important properties and structures of the graph. After a presentation of this tool interest, we will show its properties and how to use it. An application of the process on a real-word large social network (public and famous Enron corpus [3]) built upon interaction data (email boxes) validates this approach.