Visual Mining of Epidemic Networks

نویسندگان

  • Stéphan Clémençon
  • Héctor de Arazoza
  • Fabrice Rossi
  • Viet-Chi Tran
چکیده

We show how an interactive graph visualization method based on maximal modularity clustering can be used to explore a large epidemic network. The visual representation is used to display statistical tests results that expose the relations between the propagation of HIV in a sexual contact network and the sexual orientation of the patients.

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تاریخ انتشار 2011