Clustering, visualizing, and navigating for large dynamic graphs

Arnaud Sallaberry 1 Kwan-Liu Ma 2 Chris Muelder 2
1 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : In this paper, we present a new approach to exploring dy- namic graphs. We first propose a new clustering algorithm for dynamic graphs which finds an ideal clustering for each time-step and links the clusters together. The resulting time-varying clusters are then used to define two visual representations. The first view is an overview that shows how clusters evolve over time and provides an interface to find and select interesting time-steps. The second view consists of a node link diagram of a selected time-step which uses the clustering to efficiently define the layout. By using the time-dependant clustering, we ensure the stability of our visualization and preserve user mental map by minimizing node motion, while simultaneously producing an ideal layout for each time step. Also, as the clustering is computed ahead of time, the second view updates in linear time which allows for interactivity even for graphs with upwards of tens of thousands of nodes.
Keywords : Biotechnology
Type de document :
Communication dans un congrès
GD: Graph Drawing, Sep 2012, Redmond, WA, United States. Springer, 20th International Symposium, GD 2012, Redmond, WA, USA, September 19-21, 2012, Revised Selected Papers, LNCS (7704), pp.487-498, 2013, 〈10.1007/978-3-642-36763-2_43〉
Liste complète des métadonnées

https://hal-lirmm.ccsd.cnrs.fr/lirmm-00798793
Contributeur : Pascal Poncelet <>
Soumis le : dimanche 10 mars 2013 - 18:14:22
Dernière modification le : jeudi 11 janvier 2018 - 02:08:20

Identifiants

Collections

Citation

Arnaud Sallaberry, Kwan-Liu Ma, Chris Muelder. Clustering, visualizing, and navigating for large dynamic graphs. GD: Graph Drawing, Sep 2012, Redmond, WA, United States. Springer, 20th International Symposium, GD 2012, Redmond, WA, USA, September 19-21, 2012, Revised Selected Papers, LNCS (7704), pp.487-498, 2013, 〈10.1007/978-3-642-36763-2_43〉. 〈lirmm-00798793〉

Partager

Métriques

Consultations de la notice

208