Visual Mining of Epidemic Networks
Autor: | Clémençon, Stéphan, De Arazoza, Hector, Rossi, Fabrice, Tran, Viet Chi |
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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 |
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