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This study investigates how being co-principal investigators of grants influences co-authorship, and vice versa, within three Italian Academic Communities (IAC): sociologists (14/c and 14/d), statisticians (SECS S-01/05), and Management (P08) from 2014 to 2023. By collecting data from the Italian Ministry of Education and https://dimensions.ai , the study employs the Relational Hyperevent Model (RHEM) to analyze their collaboration networks over time. The study demonstrates the complex factors affecting scientific collaboration and expands the application of RHEM to new contexts. Furthermore, the study introduces a new hyperedge covariate, the geometrically-weighted subset repetition (GWSR), as a smoothed version of the formerly defined subset repetition.

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Co-authors and Co-principal Investigators: Relational Hyperevent Models for the Co-evolution of Scientific Publications and Grant Funding

  • 会议论文

  • 发表日期：

    2025年

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  • Amin Gino Fabbrucci Barbagli,
  • Jürgen Lerner,
  • Moses Boudourides

摘要

This study investigates how being co-principal investigators of grants influences co-authorship, and vice versa, within three Italian Academic Communities (IAC): sociologists (14/c and 14/d), statisticians (SECS S-01/05), and Management (P08) from 2014 to 2023. By collecting data from the Italian Ministry of Education and https://dimensions.ai , the study employs the Relational Hyperevent Model (RHEM) to analyze their collaboration networks over time. The study demonstrates the complex factors affecting scientific collaboration and expands the application of RHEM to new contexts. Furthermore, the study introduces a new hyperedge covariate, the geometrically-weighted subset repetition (GWSR), as a smoothed version of the formerly defined subset repetition.