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Communication Dans Un Congrès Année : 2005

Interactive Refinement of Multi-scale Network Clusterings

F. Jourdan
  • Fonction : Auteur

Résumé

Insight of multiscale networks could be accessed through the visualization of automatic multiscale clusterings. But results of these methods do not necessarily fulfill user expectations since they don't provide error prone clusterings. In this article we propose a way to refine interactively these results by the use of multiscale grouping and ungrouping interactions. This approach revealed to give very good results on common networks, especially on small world networks. Moreover, the linear algorithm makes that the method remains interactive on huge graphs with thousand of nodes.

Domaines

Autre [cs.OH]
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Dates et versions

hal-00307633 , version 1 (29-07-2008)

Identifiants

  • HAL Id : hal-00307633 , version 1

Citer

David Auber, F. Jourdan. Interactive Refinement of Multi-scale Network Clusterings. 9th International Conference on Information Visualisation, IV, 2005, United Kingdom. pp.703 - 709. ⟨hal-00307633⟩
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