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Interactive Visualization of Small World Graphs

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2 Author(s)
F. van Ham ; Technische Universiteit Eindhoven ; J. J. van Wijk

Many real world graphs have small world characteristics, that is, they have a small diameter compared to the number of nodes and exhibit a local cluster structure. Examples are social networks, software structures, bibliographic references and biological neural nets. Their high connectivity makes both finding a pleasing layout and a suitable clustering hard. In this paper we present a method to create scalable, interactive visualizations of small world graphs, allowing the user to inspect local clusters while maintaining a global overview of the entire structure. The visualization method uses a combination of both semantical and geometrical distortions, while the layout is generated by a spring embedder algorithm using recently developed force model. We use a cross referenced database of 500 artists as a running example

Published in:

Information Visualization, 2004. INFOVIS 2004. IEEE Symposium on

Date of Conference:

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