Visual Mining of Epidemic Networks
Héctor de Arazoza, Fabrice Rossi, Viet Chi Tran, Héctor de Arazoza, Fabrice Rossi, Viet Chi, Tran Visual Mining, Héctor de Arazoza, Fabrice Rossi, Viet Chi Tran · 2011
Abstract. 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. 1