Fonseca Bruna de Paula Fonseca E, Sampaio Ricardo Barros, Fonseca Marcus Vinicius de Araújo, Zicker Fabio
Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering (COPPE), Federal University of Rio de Janeiro (UFRJ), Av Horacio Macedo 2030, Center of Technology, room G207, Rio de Janeiro, 21941-914, Brazil.
Center for Technological Development in Health (CDTS), Oswaldo Cruz Foundation (Fiocruz), Av Brasil 4036, 8th floor, room 814, Rio de Janeiro, 21040-361, Brazil.
Health Res Policy Syst. 2016 Apr 30;14(1):34. doi: 10.1186/s12961-016-0104-5.
Scientific collaboration networks are a hallmark of contemporary academic research. Researchers are no longer independent players, but members of teams that bring together complementary skills and multidisciplinary approaches around common goals. Social network analysis and co-authorship networks are increasingly used as powerful tools to assess collaboration trends and to identify leading scientists and organizations. The analysis reveals the social structure of the networks by identifying actors and their connections. This article reviews the method and potential applications of co-authorship network analysis in health. The basic steps for conducting co-authorship studies in health research are described and common network metrics are presented. The application of the method is exemplified by an overview of the global research network for Chikungunya virus vaccines.
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