This article presents the Zoomable Adjacency Matrix Explorer (ZAME), a visualization tool for exploring networks at a scale of millions of nodes and tens of millions of edges. ZAME presents 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 the most summary to the most detailed views. Several components work together to make this performance possible and the results meaningful. A ``pyramid'' of aggregated views paged on demand to OpenGL GPU shader programs supports smooth multiscale browsing in huge datasets. Efficient matrix ordering algorithms group related elements to make the views meaningful. Using ZAME, we c...
Challenges faced by authors and reviewers of encyclopedic content include the identification of whic...
International audienceMatrixExplorer is a network visualization system that uses two representations...
Visualizing network data is applicable in domains such as biology, engineering, and social sciences....
This article presents the Zoomable Adjacency Matrix Explorer (ZAME), a visualization tool for explor...
International audienceWe present the Zoomable Adjacency Matrix Explorer (ZAME), a visualization tool...
Figure 1: A protein-protein interaction dataset (100,000 nodes and 1,000,000 edges) visualized using...
Visualizing network data is applicable in domains such as biology, engineering, and social sciences....
Visualizing network data is applicable in domains such as biology, engineering, and social sciences....
Grâce à la banalisation des outils de communication électroniques, les chercheurs en sciences social...
Best PosterInternational audienceVisualizing static networks is already difficult, but exploring dyn...
This paper presents a new approach for visualizing and exploring large networked information structu...
The difference between displaying networks with 100-1000 nodes and displaying ones with 10,000-100,0...
International audienceThis article describes a taxonomy of tasks on graphs and a controlled experime...
Node grouping is a common way of adding structure and information to networks that aids their interp...
Challenges faced by authors and reviewers of encyclopedic content include the identification of whic...
International audienceMatrixExplorer is a network visualization system that uses two representations...
Visualizing network data is applicable in domains such as biology, engineering, and social sciences....
This article presents the Zoomable Adjacency Matrix Explorer (ZAME), a visualization tool for explor...
International audienceWe present the Zoomable Adjacency Matrix Explorer (ZAME), a visualization tool...
Figure 1: A protein-protein interaction dataset (100,000 nodes and 1,000,000 edges) visualized using...
Visualizing network data is applicable in domains such as biology, engineering, and social sciences....
Visualizing network data is applicable in domains such as biology, engineering, and social sciences....
Grâce à la banalisation des outils de communication électroniques, les chercheurs en sciences social...
Best PosterInternational audienceVisualizing static networks is already difficult, but exploring dyn...
This paper presents a new approach for visualizing and exploring large networked information structu...
The difference between displaying networks with 100-1000 nodes and displaying ones with 10,000-100,0...
International audienceThis article describes a taxonomy of tasks on graphs and a controlled experime...
Node grouping is a common way of adding structure and information to networks that aids their interp...
Challenges faced by authors and reviewers of encyclopedic content include the identification of whic...
International audienceMatrixExplorer is a network visualization system that uses two representations...
Visualizing network data is applicable in domains such as biology, engineering, and social sciences....