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) |
|---|---|
| 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 |
|---|---|
| Country | Taiwan, Province of China |
| City | Taipei |
| Period | 4/19/16 → 4/22/16 |
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ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Software
Cite this
A design study of personal bibliographic data visualization. / Fung, Tsai Ling; Chou, Jia Kai; Ma, Kwan-Liu.
2016 IEEE Pacific Visualization Symposium, PacificVis 2016 - Proceedings. ed. / Chuck Hansen; Ivan Viola; Xiaoru Yuan. Vol. 2016-May IEEE Computer Society, 2016. p. 244-248 7465279.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A design study of personal bibliographic data visualization
AU - Fung, Tsai Ling
AU - Chou, Jia Kai
AU - Ma, Kwan-Liu
PY - 2016/5/4
Y1 - 2016/5/4
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84973637743&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84973637743&partnerID=8YFLogxK
U2 - 10.1109/PACIFICVIS.2016.7465279
DO - 10.1109/PACIFICVIS.2016.7465279
M3 - Conference contribution
VL - 2016-May
SP - 244
EP - 248
BT - 2016 IEEE Pacific Visualization Symposium, PacificVis 2016 - Proceedings
A2 - Hansen, Chuck
A2 - Viola, Ivan
A2 - Yuan, Xiaoru
PB - IEEE Computer Society
ER -