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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
Dubois Vincent, France Télécom
Bothorel Cécile, France Télécom
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.
Citation:
Dubois Vincent, Bothorel Cécile, "Transitive Reduction for Social Network Analysis and Visualization," wi, pp.128-131, 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), 2005
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