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Scientometrics

, Volume 90, Issue 2, pp 659–673 | Cite as

Integration of three visualization methods based on co-word analysis

  • Ying Yang
  • Mingzhi Wu
  • Lei Cui
Article

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.

Keywords

Co-word visualization Cluster tree Strategic diagram Social network map Integration 

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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2011

Authors and Affiliations

  1. 1.Library of China Medical UniversityShenyangChina
  2. 2.Library of Shenyang Pharmaceutical UniversityShenyangPeople’s Republic of China
  3. 3.Department of Medical Informatics and Information SystemChina Medical UniversityShenyangPeople’s Republic of China

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