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Proceedings Paper

Exploring the computing literature using temporal graph visualization
Author(s): Cesim Erten; Philip J. Harding; Stephen G. Kobourov; Kevin Wampler; Gary Yee
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Paper Abstract

We present a system for the visualization of computing literature with an emphasis on collaboration patterns, interactions between related research specialties and the evolution of these characteristics through time. Our computing literature visualization system, has four major components: A mapping of bibliographical data to relational schema coupled with an RDBMS to store the relational data, an interactive GUI that allows queries and the dynamic construction of graphs, a temporal graph layout algorithm, and an interactive visualization tool. We use a novel technique for visualization of large graphs that evolve through time. Given a dynamic graph, the layout algorithm produces two-dimensional representations of each timeslice, while preserving the mental map of the graph from one slice to the next. A combined view, with all the timeslices can also be viewed and explored. For our analysis we use data from the Association of Computing Machinery's Digital Library of Scientific Literature which contains more than one hundred thousand research papers and authors. Our system can be found online at http://tgrip.cs.arizona.edu.

Paper Details

Date Published: 4 June 2004
PDF: 12 pages
Proc. SPIE 5295, Visualization and Data Analysis 2004, (4 June 2004); doi: 10.1117/12.539245
Show Author Affiliations
Cesim Erten, Univ. of Arizona (United States)
Philip J. Harding, Univ. of Arizona (United States)
Stephen G. Kobourov, Univ. of Arizona (United States)
Kevin Wampler, Univ. of Arizona (United States)
Gary Yee, Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 5295:
Visualization and Data Analysis 2004
Robert F. Erbacher; Philip C. Chen; Jonathan C. Roberts; Matti T. Gröhn; Katy Börner, Editor(s)

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