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Conference Papers Year : 2011

Visual Mining of Epidemic Networks

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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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Dates and versions

hal-00603638 , version 1 (27-06-2011)
hal-00603638 , version 2 (20-10-2012)

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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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