Visual Mining of Epidemic Networks

Autor: Clémençon, Stéphan, De Arazoza, Hector, Rossi, Fabrice, Tran, Viet Chi
Rok vydání: 2012
Předmět:
Zdroj: International Work Conference on Artificial Neural Networks, Torremolinos : Spain (2011)
Druh dokumentu: Working Paper
DOI: 10.1007/978-3-642-21498-1_35
Popis: 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.
Comment: 8 pages
Databáze: arXiv