A method for identifying different types of university research teams

Bibliographic Data

ID22230581
AuthorsZhe Cheng (0000-0002-7332-604X, Central China Normal University), Yihuan Zou (0009-0007-5417-1592, Central China Normal University), Yueyang Zheng (0000-0001-7751-2619, Chinese University of Hong Kong, corresponding author)
Year2024
Volume11
Issue1
Publication date2024-04-18
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHumanities and Social Sciences Communications (JOURNAL)
Journal identifiersISSN: 2662-9992 • E-ISSN: 2662-9992
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1057/s41599-024-03014-4
OpenAlexW4394924033
LanguageEN
Citations received3
References cited31

Identifying research teams constitutes a fundamental step in team science research, and universities harbor diverse types of such teams. This study introduces a method and proposes algorithms for team identification, encompassing the project-based research team (Pbrt), the individual-based research team (Ibrt), the backbone-based research group (Bbrg), and the representative research group (Rrg), scrutinizing aspects such as project, contribution, collaboration, and similarity. Drawing on two top universities in Materials Science and Engineering as case studies, this research reveals that university research teams predominantly manifest as backbone-based research groups. The distribution of members within these groups adheres to Price’s Law, indicating a concentration of research funding among a minority of research groups. Furthermore, the representative research groups in universities exhibit interdisciplinary characteristics. Notably, significant differences exist in collaboration mode and member structures among high-level backbone-based research groups across diverse cultural backgrounds

Data science · Biomedical and Engineering Education · Computer Science · Interdisciplinary Research and Collaboration · scientometrics and bibliometrics research

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