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Evaluating reliability of co-citation clustering analysis in representing the research history of subject

Author

Listed:
  • Yueyang Zhao

    (Library of Shengjing Hospital of China Medical University)

  • Lei Cui

    (China Medical University)

  • Hua Yang

    (Library of Shengjing Hospital of China Medical University)

Abstract

Objective This paper aimed to examine the reliability of co-citation clustering analysis in representing the research history of subject by comparing the results from co-citation clustering analysis with a review written by authorities. Methods Firstly, the treatment of traumatic spinal cord injury was chosen as an investigated subject to be retrieved the resource articles and their references were downloaded from Science Citation Index CD-ROM between 1992 and 2002. Then, the highly cited papers were arranged chronologically and clustered with the method of co-citation clustering. After mapping the time line visualization, the history and structure of treatment of spinal cord injury were presented clearly. At last, the results and the review were compared according the time period, and then the recall and the precision were calculated. Results The recall was 37.5%, and the precision was 54.5%. The research history of traumatic spinal cord injury treatment analyzed by co-citation clustering was nearly consistent with authoritative review, although some clusters had shorter period than which was summarized by professionals. Conclusion This paper concluded that co-citation clustering analysis was a useful method in representing the research history of subject, especially for the information researchers, who do not have enough professional knowledge. Its demerit of low recall could be offset by combination this method with other analytic techniques.

Suggested Citation

  • Yueyang Zhao & Lei Cui & Hua Yang, 2009. "Evaluating reliability of co-citation clustering analysis in representing the research history of subject," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 91-102, July.
    • Handle: RePEc:spr:scient:v:80:y:2009:i:1:d:10.1007_s11192-008-2056-1
    DOI: 10.1007/s11192-008-2056-1
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    References listed on IDEAS

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    1. Steven A. Morris & G. Yen & Zheng Wu & Benyam Asnake, 2003. "Time line visualization of research fronts," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(5), pages 413-422, March.
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    1. Mora, Luca & Deakin, Mark & Reid, Alasdair, 2019. "Combining co-citation clustering and text-based analysis to reveal the main development paths of smart cities," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 56-69.
    2. Chang-Ping Hu & Ji-Ming Hu & Yan Gao & Yao-Kun Zhang, 2011. "A journal co-citation analysis of library and information science in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 657-670, March.

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