• DOI:10.1007/978-3-642-21498-1_35
Corpus ID: 1314699

Visual Mining of Epidemic Networks

@article{Clmenon2011VisualMO,
  title={Visual Mining of Epidemic Networks},
  author={S. Cl{\'e}mençon and H. Arazoza and F. Rossi and V. Tran},
  journal={ArXiv},
  year={2011},
  volume={abs/1210.5694}
}

S. Clémençon, H. Arazoza, +1 author V. Tran

Published 2011

Computer Science, Mathematics, Physics

ArXiv

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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.