Visualizing the intellectual structure with paper-reference matrices

Jian Zhang, Chaomei Chen, Jiexun Li

Research output: Contribution to journalArticle

22 Citations (Scopus)

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 cocitation 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.

Original languageEnglish
Article number5290724
Pages (from-to)1153-1160
Number of pages8
JournalIEEE Transactions on Visualization and Computer Graphics
Volume15
Issue number6
DOIs
Publication statusPublished - 2009 Nov 1

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All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

Cite this

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Visualizing the intellectual structure with paper-reference matrices. / Zhang, Jian; Chen, Chaomei; Li, Jiexun.

In: IEEE Transactions on Visualization and Computer Graphics, Vol. 15, No. 6, 5290724, 01.11.2009, p. 1153-1160.

Research output: Contribution to journalArticle

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