Visualization-based communities discovering in commuting networks : a case study

François Queyroi 1, 2 Yves Chiricota 3
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
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.
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Submitted on : Tuesday, May 17, 2011 - 11:48:12 AM
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  • HAL Id : hal-00593734, version 1


François Queyroi, Yves Chiricota. Visualization-based communities discovering in commuting networks : a case study. 2011. ⟨hal-00593734⟩



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