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2016 IEEE Pacific Visualization Symposium (PacificVis) (2016)
Taipei, Taiwan
April 19, 2016 to April 22, 2016
ISSN: 2165-8773
ISBN: 978-1-5090-1451-4
pp: 244-248
Tsai-Ling Fung , University of California, Davis
Jia-Kai Chou , University of California, Davis
Kwan-Liu Ma , University of California, Davis
This paper presents a comparative study on personal visualizations of bibliographic data. We consider three designs for egocentric visualization: node-link diagrams, adjacency matrices, and botanical trees to depict one's academic career in terms of his/her publication records. Case studies are conducted to compare the effectiveness of resulting visualizations for conveying particular aspect of a researcher's bibliographic records. Based on our study, we find that node-link diagrams are better at revealing the overall distribution of certain attributes; adjacency matrices can convey more information with less clutter; and botanical trees are visually attractive and provide the best at a glance characterization of the mapped data, but mapping data to tree features must be carefully done to derive expressive visualization.
Tsai-Ling Fung, Jia-Kai Chou, Kwan-Liu Ma, "A design study of personal bibliographic data visualization", 2016 IEEE Pacific Visualization Symposium (PacificVis), vol. 00, no. , pp. 244-248, 2016, doi:10.1109/PACIFICVIS.2016.7465279
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