Skip to Main content Skip to Navigation
Conference papers

ZAME: Interactive Large-Scale Graph Visualization

Niklas Elmqvist 1 Thanh-Nghi Do 1 Howard Goodell 1 Nathalie Henry 1 Jean-Daniel Fekete 1
1 AVIZ - Analysis and Visualization
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
Abstract : 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.
Document type :
Conference papers
Complete list of metadata
Contributor : Jean-Daniel Fekete Connect in order to contact the contributor
Submitted on : Wednesday, April 16, 2008 - 12:04:31 PM
Last modification on : Thursday, July 8, 2021 - 3:48:19 AM



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⟩



Record views