Visual Querying and Exploring of Large Multilayer Graphs

Abstract : Many real world data can be modeled by a graph with a set of nodes interconnected to each other by multiple relationships. Such a rich graph is called multilayer graph. We present a novel visual platform to query, explore and support the analysis of large multilayer graphs. Our approach provides coordinated views to navigate and explore the large set of retrieved results at different level of granularities. In addition, the proposed system supports the refinement of the query by visual suggestions to guide the user through the exploration process. A demo video is available at https://youtu.be/zray-iR8Hz0.
Type de document :
Poster
VIS: Visualization, Oct 2018, Berlin, Germany. IEEE, IEEE Conference on Scientific Visualization, Information Visualization and Visual Analytics, 2018, 〈http://ieeevis.org/year/2018/welcome〉
Liste complète des métadonnées

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01912384
Contributeur : Arnaud Sallaberry <>
Soumis le : lundi 5 novembre 2018 - 13:36:56
Dernière modification le : mercredi 7 novembre 2018 - 01:17:54

Identifiants

  • HAL Id : lirmm-01912384, version 1

Citation

Erick Cuenca, Arnaud Sallaberry, Dino Ienco, Pascal Poncelet. Visual Querying and Exploring of Large Multilayer Graphs. VIS: Visualization, Oct 2018, Berlin, Germany. IEEE, IEEE Conference on Scientific Visualization, Information Visualization and Visual Analytics, 2018, 〈http://ieeevis.org/year/2018/welcome〉. 〈lirmm-01912384〉

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