Artículo

Characterization of co-authorship networks of CNPq productivity fellows: an approach based on data science

Resumen

Co-authorship networks are widely used to evaluate the quality of scientific literature productions and collaborations between researchers and institutions. We identified a gap in the literature regarding the analysis of interactions between CNPq productivity fellows. To fill this gap, we used data science to characterize co-authorship networks to obtain a complementary overview of this critical public policy for promoting excellent research in Brazil. To this end, we collected 12,345 researchers’ Lattes CVs and analyzed approximately 400,000 publications. The results showed greater collaboration in the higher strata of grants (e.g., 1A and 1B). Other research findings of interest are related to regional discrepancies and gender equity. The study contributes to a better understanding of the social dynamics of productivity grant recipients, supporting the evaluation of this relevant research promotion policy.
https://doi.org/10.5753/kdmile.2024.244728
Characterization of co-authorship networks of CNPq productivity fellows: an approach based on data science
2024
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https://sol.sbc.org.br/index.php/kdmile/article/download/30955/30758
Matheus L. do Couto; Fernando A. do Carmo; Antonio F. L. Jacob Jr; Ricardo M. Marcacini; Fábio M. F. Lobato
UFOPA
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