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Research on the semantic-based co-word analysis

Author

Listed:
  • Zhong-Yi Wang

    (Wuhan University)

  • Gang Li

    (Wuhan University)

  • Chun-Ya Li

    (Wuhan University)

  • Ang Li

    (Wuhan University)

Abstract

Through analysis of problems of keywords and indexes used in co-word analysis, we find that the key to solving these problems is to integrate experts’ knowledge into co-word analysis. Therefore, this paper proposes a new co-word analysis: semantic-based co-word analysis which can integrate experts’ knowledge into co-word analysis effectively. The performance of this method has been proved to be very good. It can solve problems on keywords and indexes used in co-word analysis effectively and can improve the veracity of co-word analysis. Using this method, the research filed of “human intelligence network” in China has been analyzed. According to the analysis result, we point out that there are four research focuses on it in China now. They are “methods and theories of human intelligence network”, “human intelligence network”, “competitive intelligence system (CIS for short)”, “the construction and visualization of human intelligence network”. The findings of this study not only advance the state of co-word analysis research but also shed light on future research directions.

Suggested Citation

  • Zhong-Yi Wang & Gang Li & Chun-Ya Li & Ang Li, 2012. "Research on the semantic-based co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 855-875, March.
    • Handle: RePEc:spr:scient:v:90:y:2012:i:3:d:10.1007_s11192-011-0563-y
    DOI: 10.1007/s11192-011-0563-y
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    14. Luigi Bernardi, 2017. "Trump's tax reform plan: a short overview," Working papers 65, Società Italiana di Economia Pubblica.
    15. Meng, Jia-Hui & Wang, Jian, 2023. "The policy trajectory of dual-use technology integration governance in China: A sequential analysis of policy evolution," Technology in Society, Elsevier, vol. 72(C).
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