Visual Mining of Epidemic Networks
arXiv:1210.5694 · doi:10.1007/978-3-642-21498-1_35
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.
8 pages