Work

Visual Mining of Epidemic Networks

Year: 2011

Type: article

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. 1

Authors: Hector De Arazoza, Fabrice Rossi, Viet Chi Tran, Hector De Arazoza, Viet Chi, Tran Visual Mining

Institutions: Laboratoire Traitement et Communication de l’Information, Laboratoire Paul Painlevé, École Polytechnique, Centre de Mathématiques Appliquées de l'École polytechnique

Language: English

Topic: Data Visualization and Analytics

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W3102505793

FWCI: 1.52

Cites: 15

Cited by: 7

Related to: 10