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Transitive reduction for social network analysis and visualization

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2 Author(s)
V. Dubois ; France Telecom R&D, Lannion, France ; C. Bothorel

In this paper, we 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 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) built upon interaction data (email boxes) validates this approach.

Published in:

The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)

Date of Conference:

19-22 Sept. 2005