Transitive Reduction for Social Network Analysis and Visualization

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 18 Oct 2005Publisher:IEEEJournal:The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)

Authors: Vincent Dubois; Cécile Bothorel;

doi: 10.1109/wi.2005.152

Transitive Reduction for Social Network Analysis and Visualization

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Abstract

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.

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