Abstract
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.
Original language | English (US) |
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Title of host publication | 2016 IEEE Pacific Visualization Symposium, PacificVis 2016 - Proceedings |
Editors | Chuck Hansen, Ivan Viola, Xiaoru Yuan |
Publisher | IEEE Computer Society |
Pages | 244-248 |
Number of pages | 5 |
Volume | 2016-May |
ISBN (Electronic) | 9781509014514 |
DOIs | |
State | Published - May 4 2016 |
Event | 9th IEEE Pacific Visualization Symposium, PacificVis 2016 - Taipei, Taiwan, Province of China Duration: Apr 19 2016 → Apr 22 2016 |
Other
Other | 9th IEEE Pacific Visualization Symposium, PacificVis 2016 |
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Country | Taiwan, Province of China |
City | Taipei |
Period | 4/19/16 → 4/22/16 |
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Software