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As research topics become specialized and diversified, it is crucial but challenging for governments and organizations to distribute limited research resources effectively. In this work, we propose a scientific collaboration model to analyze the impact of the popularity effect considering the researchers’ non-homogeneous genius levels within each subject. This model is then applied to all 182 subject types collected in the Web of Science (WoS) database. The estimated parameters of each subject given by the model are analyzed regarding to the popularity effect. Moreover, the similarities of collaboration patterns are visualized with similar subject spiral (SSS) plots, which shows how subjects in different fields follow similar collaboration patterns.

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A Comprehensive Analysis of Popularity Effects in Scientific Collaboration via Dynamic Parameter Estimations

  • 会议论文

  • 发表日期：

    2025年

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  • Ming-Yen Lai,
  • Frederick Kin Hing Phoa,
  • Hsin-Ping Liu,
  • Hohyun Jung

摘要

As research topics become specialized and diversified, it is crucial but challenging for governments and organizations to distribute limited research resources effectively. In this work, we propose a scientific collaboration model to analyze the impact of the popularity effect considering the researchers’ non-homogeneous genius levels within each subject. This model is then applied to all 182 subject types collected in the Web of Science (WoS) database. The estimated parameters of each subject given by the model are analyzed regarding to the popularity effect. Moreover, the similarities of collaboration patterns are visualized with similar subject spiral (SSS) plots, which shows how subjects in different fields follow similar collaboration patterns.