Co-authorship network analysis in health research: method and potential use. Fonseca Bde, P., Sampaio, R., B., Fonseca, M., V., & Zicker, F. Health research policy and systems / BioMed Central, 14(1):34-35, 4, 2016.
abstract   bibtex   
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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 title = {Co-authorship network analysis in health research: method and potential use},
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 year = {2016},
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 pages = {34-35},
 volume = {14},
 month = {4},
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 city = {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. brufonseca@gmail.com.; Center},
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 notes = {LR: 20160505; JID: 101170481; OID: NLM: PMC4852432; 2016/02/01 [received]; 2016/04/10 [accepted]; 2016/04/30 [aheadofprint]; epublish},
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 abstract = {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.},
 bibtype = {article},
 author = {Fonseca Bde, P and Sampaio, R B and Fonseca, M V and Zicker, F},
 journal = {Health research policy and systems / BioMed Central},
 number = {1}
}

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