Visual Mining of Epidemic Networks
  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. 
St\'ephan Cl\'emen\c{c}on (LTCI), Hector De Arazoza (MATCOM, LPP),   Fabrice Rossi (LTCI), Viet Chi Tran (LPP, CMAP)
stat.AP cs.SI physics.soc-ph