Visual Mining of Epidemic Networks
Document type :
Communication dans un congrès avec actes
Title :
Visual Mining of Epidemic Networks
Author(s) :
Clémençon, Stéphan [Auteur]
Laboratoire Traitement et Communication de l'Information [LTCI]
de Arazoza, Hector [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Rossi, Fabrice [Auteur correspondant]
Laboratoire Traitement et Communication de l'Information [LTCI]
Tran, Chi [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Centre de Mathématiques Appliquées de l'Ecole polytechnique [CMAP]
Laboratoire Traitement et Communication de l'Information [LTCI]
de Arazoza, Hector [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Rossi, Fabrice [Auteur correspondant]
Laboratoire Traitement et Communication de l'Information [LTCI]
Tran, Chi [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Centre de Mathématiques Appliquées de l'Ecole polytechnique [CMAP]
Scientific editor(s) :
Cabestany
Joan and Rojas
Ignacio and Joya
Gonzalo
Joan and Rojas
Ignacio and Joya
Gonzalo
Conference title :
International Work Conference on Artificial Neural Networks
City :
Torremolinos
Country :
Espagne
Start date of the conference :
2011-06-08
Book title :
Advances in Computational Intelligence
Journal title :
Lecture Notes in Computer Science
Publisher :
Springer Berlin / Heidelberg
Publication date :
2011-06
English keyword(s) :
visualization of large networks
HIV-AIDS epidemics
maximal modularity clustering
HIV-AIDS epidemics
maximal modularity clustering
HAL domain(s) :
Statistiques [stat]/Applications [stat.AP]
Sciences du Vivant [q-bio]/Santé publique et épidémiologie
Sciences du Vivant [q-bio]/Santé publique et épidémiologie
English abstract : [en]
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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Comment :
8 pages
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