Exploring the computing literature using temporal graph visualization
作者： Cesim Erten , Philip J. Harding , Stephen G. Kobourov , Kevin Wampler , Gary Yee
DOI: 10.1117/12.539245
关键词:
摘要: We present a system for the visualization of computing literature with an emphasis on collaboration patterns, interactions between related research specialties and evolution these characteristics through time. Our system, has four major components: A mapping bibliographical data to relational schema coupled RDBMS store data, interactive GUI that allows queries dynamic construction graphs, temporal graph layout algorithm, tool. use novel technique large graphs evolve Given graph, algorithm produces two-dimensional representations each timeslice, while preserving mental map from one slice next. combined view, all timeslices can also be viewed explored. For our analysis we Association Computing Machinery's Digital Library Scientific Literature which contains more than hundred thousand papers authors. found online at http://tgrip.cs.arizona.edu.© (2004) COPYRIGHT SPIE--The International Society Optical Engineering. Downloading abstract is permitted personal only.
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