DocumentCode :
1504777
Title :
Visualizing the Intellectual Structure with Paper-Reference Matrices
Author :
Zhang, Jian ; Chen, Chaomei ; Li, Jiexun
Author_Institution :
Drexel Univ., Philadelphia, PA, USA
Volume :
15
Issue :
6
fYear :
2009
Firstpage :
1153
Lastpage :
1160
Abstract :
Visualizing the intellectual structure of scientific domains using co-cited units such as references or authors has become a routine for domain analysis. In previous studies, paper-reference matrices are usually transformed into reference-reference matrices to obtain co-citation relationships, which are then visualized in different representations, typically as node-link networks, to represent the intellectual structures of scientific domains. Such network visualizations sometimes contain tightly knit components, which make visual analysis of the intellectual structure a challenging task. In this study, we propose a new approach to reveal co-citation relationships. Instead of using a reference-reference matrix, we directly use the original paper-reference matrix as the information source, and transform the paper-reference matrix into an FP-tree and visualize it in a Java-based prototype system. We demonstrate the usefulness of our approach through visual analyses of the intellectual structure of two domains: information visualization and Sloan Digital Sky Survey (SDSS). The results show that our visualization not only retains the major information of co-citation relationships, but also reveals more detailed sub-structures of tightly knit clusters than a conventional node-link network visualization.
Keywords :
Java; astronomical surveys; astronomy computing; citation analysis; data visualisation; network theory (graphs); pattern clustering; scientific information systems; trees (mathematics); FP-tree; Java-based prototype system; SDSS; Sloan Digital Sky Survey; author analysis; co-citation relationship; co-cited unit; information source; information visualization; intellectual structure visualization; node-link network visualization; paper-reference matrix; reference analysis; reference-reference matrix; scientific domain analysis; tightly-knit cluster; visual analysis; Chaos; Data visualization; Information analysis; Information science; Java; Joining processes; Libraries; Prototypes; Testing; Tree data structures; Co-citation; FP-tree; Intellectual Structure; Paper-reference Matrix;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2009.202
Filename :
5290724
Link To Document :
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