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]

Scientific editor(s) :

Cabestany
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

HAL domain(s) :

Statistiques [stat]/Applications [stat.AP]
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 >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Comment :

8 pages

Collections :

• Laboratoire Paul Painlevé - UMR 8524

Source :

Harvested from HAL