Navigating hierarchically clustered networks through fisheye and full-zoom methods
ACM Transactions on Computer-Human Interaction (TOCHI)
Graph Visualization and Navigation in Information Visualization: A Survey
IEEE Transactions on Visualization and Computer Graphics
Improving Walker's Algorithm to Run in Linear Time
GD '02 Revised Papers from the 10th International Symposium on Graph Drawing
A Fast Adaptive Layout Algorithm for Undirected Graphs
GD '94 Proceedings of the DIMACS International Workshop on Graph Drawing
Multilevel Visualization of Clustered Graphs
GD '96 Proceedings of the Symposium on Graph Drawing
Drawing Large Graphs with H3Viewer and Site Manager
GD '98 Proceedings of the 6th International Symposium on Graph Drawing
Graph Drawing by High-Dimensional Embedding
GD '02 Revised Papers from the 10th International Symposium on Graph Drawing
Interactive Visualization of Small World Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Topological Fisheye Views for Visualizing Large Graphs
IEEE Transactions on Visualization and Computer Graphics
ASK-GraphView: A Large Scale Graph Visualization System
IEEE Transactions on Visualization and Computer Graphics
MoireGraphs: radial focus+context visualization and interaction for graphs with visual nodes
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
GD'05 Proceedings of the 13th international conference on Graph Drawing
Drawing large graphs with a potential-field-based multilevel algorithm
GD'04 Proceedings of the 12th international conference on Graph Drawing
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
Interactive Exploration of Large Dynamic Networks
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Graph Bundling by Kernel Density Estimation
Computer Graphics Forum
Winding roads: routing edges into bundles
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
GlyphLink: An interactive visualization approach for semantic graphs
Journal of Visual Languages and Computing
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Grouse is a feature-based approach to steerable exploration of a graph and an associated hierarchy. Steerability allows exploration to begin immediately, rather than requiring a costly layout of the entire graph as an initial step. In a feature-based approach, the subgraph inside a metanode of the graph hierarchy is laid out with a well- chosen algorithm appropriate for its topological structure. Grouse preserves the input hierarchy, which provides meaningful information to the user when its metanodes correspond to features of interest. When a metanode in the hierarchy is opened, a limited number of metanodes are laid out again along the path between the opened node and the root. We demonstrate the effectiveness of Grouse on datasets from IMDB, the Internet Movie Database, where nodes are actors and cliques represent movies. The combination of feature-based layout and limited relayout computation does not fragment features in the hierarchy and improves the number of levels in the hierarchy that can be seen at once over previous approaches.