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 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.
Co-authors and Co-principal Investigators: Relational Hyperevent Models for the Co-evolution of Scientific Publications and Grant Funding / Fabbrucci Barbagli, A.G., Lerner, J., Boudourides, M.. - (2025), pp. 289-295. (SIS 2025 Genova 16-18 Giugno 2025) [10.1007/978-3-031-96736-8_48].
Co-authors and Co-principal Investigators: Relational Hyperevent Models for the Co-evolution of Scientific Publications and Grant Funding
Fabbrucci Barbagli, Amin Gino
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2025-01-01
Abstract
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 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.| File | Dimensione | Formato | |
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