Hierarchical clustering for graph visualizationReport as inadecuate

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* Corresponding author 1 LTCI - Laboratoire Traitement et Communication de l-Information 2 MATCOM - Matematica y Computacion 3 LPP - Laboratoire Paul Painlevé 4 CMAP - Centre de Mathématiques Appliquées - Ecole Polytechnique

Abstract : This paper describes a graph visualization methodology based on hierarchical maximal modularity clustering, with interactive and significant coarsening and refining possibilities. An application of this method to HIV epidemic analysis in Cuba is outlined.

Keywords : visualization of large networks HIV-AIDS epidemics maximal modularity clustering

Author: Stéphan Clémençon - Hector De Arazoza - Fabrice Rossi - Viet Chi Tran -

Source: https://hal.archives-ouvertes.fr/


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