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Co-authorship network analysis in health research: method and potential use
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 ar...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4852432/ https://www.ncbi.nlm.nih.gov/pubmed/27138279 http://dx.doi.org/10.1186/s12961-016-0104-5 |
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author | Fonseca, Bruna de Paula Fonseca e Sampaio, Ricardo Barros Fonseca, Marcus Vinicius de Araújo Zicker, Fabio |
author_facet | Fonseca, Bruna de Paula Fonseca e Sampaio, Ricardo Barros Fonseca, Marcus Vinicius de Araújo Zicker, Fabio |
author_sort | Fonseca, Bruna de Paula Fonseca e |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4852432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48524322016-05-03 Co-authorship network analysis in health research: method and potential use Fonseca, Bruna de Paula Fonseca e Sampaio, Ricardo Barros Fonseca, Marcus Vinicius de Araújo Zicker, Fabio Health Res Policy Syst Review 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. BioMed Central 2016-04-30 /pmc/articles/PMC4852432/ /pubmed/27138279 http://dx.doi.org/10.1186/s12961-016-0104-5 Text en © Fonseca et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Fonseca, Bruna de Paula Fonseca e Sampaio, Ricardo Barros Fonseca, Marcus Vinicius de Araújo Zicker, Fabio Co-authorship network analysis in health research: method and potential use |
title | Co-authorship network analysis in health research: method and potential use |
title_full | Co-authorship network analysis in health research: method and potential use |
title_fullStr | Co-authorship network analysis in health research: method and potential use |
title_full_unstemmed | Co-authorship network analysis in health research: method and potential use |
title_short | Co-authorship network analysis in health research: method and potential use |
title_sort | co-authorship network analysis in health research: method and potential use |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4852432/ https://www.ncbi.nlm.nih.gov/pubmed/27138279 http://dx.doi.org/10.1186/s12961-016-0104-5 |
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