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Homophily and its effects on collaborations and repeated collaborations

A study across scientific fields

Bibliographic Data

ID21441532
AuthorsJ M Santos (0000-0001-6414-6891, Iscte – Instituto Universitário de Lisboa), Helena Horta (0000-0001-6814-1393, University of Hong Kong, corresponding author), Shihui Feng (0000-0002-5572-276X, Hong Kong University of Science and Technology)
Year2024
Volume129
Issue3
Pages1801-1823
Publication date2024-03-01
Open AccessYes
TypeARTICLE
VenueScientometrics (JOURNAL)
Journal identifiersISSN: 0138-9130 • E-ISSN: 1588-2861
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11192-024-04950-3
OpenAlexW4391881425
LanguageEN
Citations received6
References cited44

This study examines the influence of homophily on research collaborations across all scientific fields, noting the role of ascribed, acquired, geographical, current career, and educational and career history attributes. Our analysis builds on previous studies by adopting a comparative approach across scientific fields and examining the effect of homophily on repeated collaborations. Our findings reveal physical proximity as a universal driver of collaboration across all scientific fields, both for overall collaborations and as a maintainer of collaborative endeavors. We also note that most attributes that are responsible for overall collaborations are similar to the attributes that play a role in maintaining them, with a few exceptions, notably when it comes to institutional characteristics. Our results also show the complex role of career history attributes, such as job variety and international mobility, in influencing the likelihood of collaboration. This study sheds light on the intricate interplay of different attributes in shaping scientific collaborations, underscoring the need for a multidisciplinary approach in future homophily studies and nuanced strategies for fostering collaborations across different scientific fields

Data science · Homophily · Social science · Sociology · Business Strategy and Innovation · Computer Science · Innovation and Knowledge Management · scientometrics and bibliometrics research

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Citations per year3
Citation span2024 - 2026 (3)
Highly citedNo

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