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.
Autores
Pugas, MAR; Lopes, EL; Lopes, EH; Ferreira, HL
Título
From One End to The Other: A Bibliometric Study of Publications on Omission Neglect Based on The Journals Between 1988 and 2016
Afiliaciones
Universidade Nove de Julho
Año
2020
DOI
10.23925/2178-0080.2020v22i1.44752
Tipo de acceso abierto
gold, Green Submitted
Referencia
WOS:000543784400006
Artículo obtenido de:
WOS
Fuente
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