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Related Experiment Videos

ASK-GraphView: A large scale graph visualization system.

James Abello1, Frank van Ham, Neeraj Krishnan

  • 1DIMACS, Rutgers University, USA. jabello@ask.com

IEEE Transactions on Visualization and Computer Graphics
|November 4, 2006
PubMed
Summary
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ASK-GraphView visualizes large graphs up to 16 million edges using clustering and interactive navigation. This system enables hierarchical exploration of complex network data for enhanced analysis.

Area of Science:

  • Computer Science
  • Data Visualization
  • Network Analysis

Background:

  • Large-scale graph data presents significant visualization and analysis challenges.
  • Existing graph visualization tools often struggle with scalability and interactive exploration of massive networks.

Purpose of the Study:

  • To introduce ASK-GraphView, a novel node-link-based graph visualization system.
  • To enable interactive navigation and clustering of large graphs, up to 16 million edges.

Main Methods:

  • Development of a scalable architecture for graph visualization.
  • Implementation of sophisticated clustering algorithms to build a graph hierarchy.
  • Interactive top-down navigation by expanding clusters.

Main Results:

Related Experiment Videos

  • ASK-GraphView successfully visualizes and allows interactive exploration of graphs with up to 16 million edges.
  • The system supports hierarchical navigation through scalable clustering.
  • Features include filtering, coloring, annotation, and cluster labeling for enhanced usability.

Conclusions:

  • ASK-GraphView provides an effective solution for visualizing and interacting with large-scale graphs.
  • The system's scalable architecture and clustering approach facilitate complex network analysis.
  • Interactive exploration of graph hierarchies enhances user understanding of network structures.