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Research collaboration networks in maturing academic environments.

Luís Filipe de Miranda GrochockiAndrea Felippe Cabello
Published in: Scientometrics (2023)
We use data on research collaboration among 5,230 scholars in the University of São Paulo between 2000 and 2019 to understand how a network with high academic endogamy is structured, to identify if academic collaboration is more commonly found among those who share endogamy status, and to analyze if the likelihood of tie formation is distinct among inbred and non-inbred scholars. Results show growth of collaborations over time. However, ties between scholars are more likely to occur when endogamy status is shared by both inbred and non-inbred ones. Furthermore, such homophily effect seems to gradually be more influential on non-inbred scholars, suggesting this institution could be missing out on opportunities of exploring non-redundant information from within its own faculty members.
Keyphrases
  • medical students
  • healthcare
  • machine learning
  • deep learning
  • emergency medicine