ASK-GraphView: A large scale graph visualization system

James Abello; Frank Van Ham; Neeraj Krishnan

doi:10.1109/TVCG.2006.120

ASK-GraphView: A large scale graph visualization system

James Abello, Frank Van Ham, Neeraj Krishnan

Research output: Contribution to journal › Article › peer-review

194 Scopus citations

Abstract

We describe ASK-GraphView, a node-link-based graph visualization system that allows clustering and interactive navigation of large graphs, ranging in size up to 16 million edges. The system uses a scalable architecture and a series of increasingly sophisticated clustering algorithms to construct a hierarchy on an arbitrary, weighted undirected input graph. By lowering the interactivity requirements we can scale to substantially bigger graphs. The user is allowed to navigate this hierarchy in a top down manner by interactively expanding individual clusters. ASK-GraphView also provides facilities for filtering and coloring, annotation and cluster labeling.

Original language	English (US)
Pages (from-to)	669-676
Number of pages	8
Journal	IEEE Transactions on Visualization and Computer Graphics
Volume	12
Issue number	5
DOIs	https://doi.org/10.1109/TVCG.2006.120
State	Published - Sep 2006

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Computer Vision and Pattern Recognition
Computer Graphics and Computer-Aided Design

Keywords

Graph clustering
Graph visualization
Information visualization

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10.1109/TVCG.2006.120

Cite this

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abstract = "We describe ASK-GraphView, a node-link-based graph visualization system that allows clustering and interactive navigation of large graphs, ranging in size up to 16 million edges. The system uses a scalable architecture and a series of increasingly sophisticated clustering algorithms to construct a hierarchy on an arbitrary, weighted undirected input graph. By lowering the interactivity requirements we can scale to substantially bigger graphs. The user is allowed to navigate this hierarchy in a top down manner by interactively expanding individual clusters. ASK-GraphView also provides facilities for filtering and coloring, annotation and cluster labeling.",

keywords = "Graph clustering, Graph visualization, Information visualization",

author = "James Abello and {Van Ham}, Frank and Neeraj Krishnan",

year = "2006",

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AU - Van Ham, Frank

AU - Krishnan, Neeraj

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AB - We describe ASK-GraphView, a node-link-based graph visualization system that allows clustering and interactive navigation of large graphs, ranging in size up to 16 million edges. The system uses a scalable architecture and a series of increasingly sophisticated clustering algorithms to construct a hierarchy on an arbitrary, weighted undirected input graph. By lowering the interactivity requirements we can scale to substantially bigger graphs. The user is allowed to navigate this hierarchy in a top down manner by interactively expanding individual clusters. ASK-GraphView also provides facilities for filtering and coloring, annotation and cluster labeling.

KW - Graph clustering

KW - Graph visualization

KW - Information visualization

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JF - IEEE Transactions on Visualization and Computer Graphics

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ASK-GraphView: A large scale graph visualization system

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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