Visualization-based communities discovering in commuting networks : a case studyReport as inadecuate

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1 LaBRI - Laboratoire Bordelais de Recherche en Informatique 2 GRAVITE - Graph Visualization and Interactive Exploration Université Sciences et Technologies - Bordeaux 1, Inria Bordeaux - Sud-Ouest, École Nationale Supérieure d-Électronique, Informatique et Radiocommunications de Bordeaux ENSEIRB, CNRS - Centre National de la Recherche Scientifique : UMR 3 DIM UQAC - Département d-informatique et de mathématique

Abstract : The division of a national territory is a mandatory process to analyze socio-economic dynamics. Com- muting is then an important dimension to build such classification and weighted network analysis is adapted to study this phenomena. We present in this paper a procedure to identify groups of cities where commuters flow are relatively dense through a case study: a huge network which represents commuting in France based on the 1999 national census. Our approach is based on a common technique improved by visual tools: highlight dense areas using a strength metric and extract clusters using the variation of a quality measure function.

Keywords : network analysis graph visualization clustering commuting

Author: François Queyroi - Yves Chiricota -



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