A design study of personal bibliographic data visualization

Tsai Ling Fung; Jia Kai Chou; Kwan-Liu Ma

doi:10.1109/PACIFICVIS.2016.7465279

A design study of personal bibliographic data visualization

Tsai Ling Fung, Jia Kai Chou, Kwan-Liu Ma

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

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	https://doi.org/10.1109/PACIFICVIS.2016.7465279
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

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition
Hardware and Architecture
Software

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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

Fung, TL, Chou, JK & Ma, K-L 2016, A design study of personal bibliographic data visualization. in C Hansen, I Viola & X Yuan (eds), 2016 IEEE Pacific Visualization Symposium, PacificVis 2016 - Proceedings. vol. 2016-May, 7465279, IEEE Computer Society, pp. 244-248, 9th IEEE Pacific Visualization Symposium, PacificVis 2016, Taipei, Taiwan, Province of China, 4/19/16. https://doi.org/10.1109/PACIFICVIS.2016.7465279

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A design study of personal bibliographic data visualization

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