4 June 2004 Exploring the computing literature using temporal graph visualization
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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.
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Cesim Erten, Cesim Erten, Philip J. Harding, Philip J. Harding, Stephen G. Kobourov, Stephen G. Kobourov, Kevin Wampler, Kevin Wampler, Gary Yee, Gary Yee, } "Exploring the computing literature using temporal graph visualization", Proc. SPIE 5295, Visualization and Data Analysis 2004, (4 June 2004); doi: 10.1117/12.539245; https://doi.org/10.1117/12.539245
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