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An exploratory study on substantive co-link analysis: A modification to total co-link analysis

Author

Listed:
  • Junping Qiu

    (Wuhan University)

  • Yejun Li

    (Wuhan University)

  • Jiang Li

    (Wuhan University)

  • Quane Ren

    (Wuhan University)

Abstract

Since the term “co-link” was put forward, many scholars have done exploratory investigations to prove the applicability and validity of co-link analysis used in mapping internet structure and mining relationships among internet colonies. All of these studies are based on the whole links in the web called “total co-link analysis”. However, there are both substantive and non-substantive links in the web, and the number of the latter outweights that of the former, which makes the preconditions of total co-link analysis untenable. In this paper, we present “substantive co-link analysis”, and believe it is more sound and valid than “total co-link analysis”. Then exploratory investigations on both total and substantive co-link analysis are carried out with the sample of 20 academic blogs on Library and Information Science, the results of which testify our assumption that “substantive co-link analysis” is more efficient and reasonable than “total co-link analysis”.

Suggested Citation

  • Junping Qiu & Yejun Li & Jiang Li & Quane Ren, 2008. "An exploratory study on substantive co-link analysis: A modification to total co-link analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 327-341, August.
    • Handle: RePEc:spr:scient:v:76:y:2008:i:2:d:10.1007_s11192-007-1921-7
    DOI: 10.1007/s11192-007-1921-7
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    References listed on IDEAS

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    1. Loet Leydesdorff & Liwen Vaughan, 2006. "Co‐occurrence matrices and their applications in information science: Extending ACA to the Web environment," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(12), pages 1616-1628, October.
    2. Liwen Vaughan & Justin You, 2006. "Comparing business competition positions based on Web co-link data: The global market vs. the Chinese market," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 611-628, September.
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    Cited by:

    1. Bo Yang & Ying Sun, 2013. "An exploration of link-based knowledge map in academic web space," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 239-253, July.

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