ZAME: Interactive Large-Scale Graph Visualization - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2008

ZAME: Interactive Large-Scale Graph Visualization

Niklas Elmqvist
  • Fonction : Auteur
  • PersonId : 848509
Thanh-Nghi Do
  • Fonction : Auteur
  • PersonId : 848510
Nathalie Henry
  • Fonction : Auteur
  • PersonId : 848511
Jean-Daniel Fekete

Résumé

We present the Zoomable Adjacency Matrix Explorer (ZAME), a visualization tool for exploring graphs at a scale of millions of nodes and edges. ZAME is based on an adjacency matrix graph representation aggregated at multiple scales. It allows analysts to explore a graph at many levels, zooming and panning with interactive performance from an overview to the most detailed views. Several components work together in the ZAME tool to make this possible. Efficient matrix ordering algorithms group related elements. Individual data cases are aggregated into higher-order meta-representations. Aggregates are arranged into a pyramid hierarchy that allows for on-demand paging to GPU shader programs to support smooth multiscale browsing. Using ZAME, we are able to explore the entire French Wikipedia—over 500,000 articles and 6,000,000 links—with interactive performance on standard consumer-level computer hardware.
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Dates et versions

inria-00273796 , version 1 (16-04-2008)

Identifiants

Citer

Niklas Elmqvist, Thanh-Nghi Do, Howard Goodell, Nathalie Henry, Jean-Daniel Fekete. ZAME: Interactive Large-Scale Graph Visualization. IEEE Pacific Visualization Symposium 2008, IEEE, Mar 2008, Kyoto, Japan. pp.215-222, ⟨10.1109/PACIFICVIS.2008.4475479⟩. ⟨inria-00273796⟩
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