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Visual Mining of Epidemic Networks

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.
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https://hal.archives-ouvertes.fr/hal-00603638
Contributor : Fabrice Rossi <>
Submitted on : Saturday, October 20, 2012 - 4:34:17 PM
Last modification on : Friday, July 31, 2020 - 10:44:06 AM
Long-term archiving on: : Saturday, December 17, 2016 - 3:01:56 AM

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Stéphan Clémençon, Hector de Arazoza, Fabrice Rossi, Viet Chi Tran. Visual Mining of Epidemic Networks. International Work Conference on Artificial Neural Networks, Jun 2011, Torremolinos, Spain. pp.276-283, ⟨10.1007/978-3-642-21498-1_35⟩. ⟨hal-00603638v2⟩

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