Visual Mining of Epidemic Networks

Stéphan Clémençon; Hector De Arazoza; Fabrice Rossi; Viet Chi Tran

doi:10.1007/978-3-642-21498-1_35

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arXiv · 1210.5694

Visual Mining of Epidemic Networks

Stéphan Clémençon·Hector De Arazoza·Fabrice Rossi·Viet Chi Tran

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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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Stéphan Clémençon, Hector De Arazoza, Fabrice Rossi, Viet Chi Tran. 2012-10-21. Visual Mining of Epidemic Networks. https://doi.org/10.1007/978-3-642-21498-1_35

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