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An investigation of collaborations between top Chinese universities: a new quantitative approach

Author

Listed:
  • Weichao Wang

    (Peking University)

  • Yishan Wu

    (Institute of Scientific and Technical Information of China)

  • Yuntao Pan

    (Institute of Scientific and Technical Information of China)

Abstract

A new quantitative method is introduced to analyze the collaboration among different organizations. The method defines the collaboration score based on the number of people involved in collaboration, and then the collaboration strength is obtained by summing up the collaboration scores with this method. We choose “Project 985” universities, which represent the top universities in China, as an example to study the collaboration network, strength in leading collaboration and strength in participating collaboration. Results based on Scopus show some characteristics of such collaboration and verify the feasibility of the new approach.

Suggested Citation

  • Weichao Wang & Yishan Wu & Yuntao Pan, 2014. "An investigation of collaborations between top Chinese universities: a new quantitative approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1535-1545, February.
    • Handle: RePEc:spr:scient:v:98:y:2014:i:2:d:10.1007_s11192-013-1072-y
    DOI: 10.1007/s11192-013-1072-y
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    References listed on IDEAS

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    Cited by:

    1. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2020. "Research leadership flow determinants and the role of proximity in research collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(11), pages 1341-1356, November.
    2. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2021. "Characterizing research leadership on geographically weighted collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4005-4037, May.
    3. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2022. "Proximity‐aware research leadership recommendation in research collaboration via deep neural networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(1), pages 70-89, January.
    4. He, Chaocheng & Liu, Fuzhen & Dong, Ke & Wu, Jiang & Zhang, Qingpeng, 2023. "Research on the formation mechanism of research leadership relations: An exponential random graph model analysis approach," Journal of Informetrics, Elsevier, vol. 17(2).
    5. Fei Shu & Wen Lou & Stefanie Haustein, 2018. "Can Twitter increase the visibility of Chinese publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 505-519, July.
    6. Lipeng Fan & Yuefen Wang & Shengchun Ding & Binbin Qi, 2020. "Productivity trends and citation impact of different institutional collaboration patterns at the research units’ level," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1179-1196, November.

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