Visual Mining of Epidemic Networks

  title={Visual Mining of Epidemic Networks},
  author={S. Cl{\'e}mençon and H. Arazoza and F. Rossi and V. Tran},
  • S. Clémençon, H. Arazoza, +1 author V. Tran
  • Published 2011
  • Computer Science, Mathematics, Physics
  • ArXiv
  • 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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