Abstracts Citation analysis co-author analysis Data analysis Data visualization Image analysis Image resolution Informatics Information science Libraries visualization Web pages
The presented work aims to identify major research topics, co-authorships, and trends in the IV Contest 2004 dataset. Co-author, paper-citation, and burst analysis were used to analyze the dataset. The results are visually presented as graphs, static Pajek [1] visualizations and interactive network layouts using Pajek's SVG output feature. A complementary web page with all the raw data, details of the analyses, and high resolution images of all figures is available online at http://iv.slis.indiana.edu/ref/iv04contest/.
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Details
Title
Major Information Visualization Authors, Papers and Topics in the ACM Library
Creators
Weimao Ke - Indiana University
K. Borner
L. Viswanath
Publication Details
IEEE Symposium on Information Visualization, pp r1-r1