Transitive Reduction for Social Network Analysis and Visualization

  • Authors:
  • Dubois Vincent;Bothorel Cecile

  • Affiliations:
  • France Télécom;France Télécom

  • Venue:
  • WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
  • Year:
  • 2005

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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.