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Web Intelligence, IEEE / WIC / ACM International Conference on (2005)
Compi?gne University of Technology, France
Sept. 19, 2005 to Sept. 22, 2005
ISBN: 0-7695-2415-X
pp: 128-131
Dubois Vincent , France Télécom
Bothorel Cécile , France Télécom
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.
INDEX TERMS
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CITATION

D. Vincent and B. Cécile, "Transitive Reduction for Social Network Analysis and Visualization," Proceedings. The 2005 IEEE/WIC/ACM International Conference on Web Intelligence(WI), Compiegne, France, 2005, pp. 128-131.
doi:10.1109/WI.2005.152
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