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Integration of three visualization methods based on co-word analysis

Author

Listed:
  • Ying Yang

    (Library of China Medical University)

  • Mingzhi Wu

    (Library of Shenyang Pharmaceutical University)

  • Lei Cui

    (China Medical University)

Abstract

Visualization of subject structure based on co-word analysis is used to explore the concept network and developmental tendency in certain field. There are many visualization methods for co-word analysis. However, integration of results by different methods is rarely reported. This article addresses the knowledge gap in this field of study. We compare three visualization methods: Cluster tree, strategy diagram and social network maps, and integrate different results together to one result through co-word analysis of medical informatics. The three visualization methods have their own character: cluster trees show the subject structure, strategic diagrams reveal the importance of topic themes in the structure, and social network maps interpret the internal relationship among themes. Integration of different visualization results to one more readable map complements each other. And it is helpful for researchers to get the concept network and developmental tendency in a certain field.

Suggested Citation

  • Ying Yang & Mingzhi Wu & Lei Cui, 2012. "Integration of three visualization methods based on co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 659-673, February.
    • Handle: RePEc:spr:scient:v:90:y:2012:i:2:d:10.1007_s11192-011-0541-4
    DOI: 10.1007/s11192-011-0541-4
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