A study on the network of the scientific collaboration of Brazilian researchers with curricula registered in the Lattes Platform
DOI:
https://doi.org/10.19132/1808-5245251.83-86Keywords:
Collaboration Networks. Network Analysis. Scientific production. Lattes Platform.Abstract
Analyses of scientific collaboration networks have been widely
explored in researches within different knowledge fields for quite some time,
taking into account its ability to identify how groups of researchers are
performing their work collectively. These studies make it possible to identify
how collaboration occurs between individuals through investigations based on
social network metrics. In this paper, at first, a general characterization of the
analyzed data is presented, and afterward, a temporal analysis of the Brazilian
PhDs scientific collaboration network with registered curricula in the Lattes
Platform is conducted. For this purpose, all their scientific publications were
used for the identification and characterization of the collaboration networks. As
a result, it is possible to visualize how the scientific collaboration of the
analyzed set was intensified over the years, highlighting the areas of activity of
each Brazilian PhD.
Downloads
References
BARABÁSI, A. L.; ALBERT, R. Emergence of scaling in random networks. Science, Washington, v. 286, n. 5439, p. 509-512, 1999.
BOAVENTURA, M. et al. Caracterização temporal das redes de colaboração científica nas universidades brasileiras: anos 2000-2013. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING, 3., 2014, Brasília. Anais… Brasília: Sociedade Brasileira de Computação, 2014.
DIAS, T. M. R.; MOITA, G. F. Um método para identificação de colaborações em grandes bases de dados científicos. Em Questão, Porto Alegre, v. 21, n. 2, p. 140-161. 2015.
DIAS, T. M. R.; MOREIRA, T. H. J.; DIAS, P. M. Caracterização e análise das redes de colaboração científica dos bolsistas de produtividade em pesquisa do CNPq. In: Brazilian Workshop on Social Network Analysis and Mining, 7., 2018, Natal. Anais... Natal: BraSNAM, 2018. p. 64-75.
DIAS, T. M. R. Um estudo sobre a produção científica brasileira a partir de dados da plataforma Lattes. 2016. (Doutorado em Modelagem Matemática e Computacional) - Centro Federal de Educação Tecnológica de Minas Gerais, Belo Horizonte, 2016.
DIGIAMPIETRI, L. A. et al. Análise da rede de relacionamentos dos doutores brasileiros. In: BRAZILIAN E-SCIENCE WORKSHOP , 8., 2014, Brasília. Anais... Brasília: Sociedade Brasileira de Computação, 2014.
DIGIAMPIETRI, L. Análise da rede social acadêmica brasileira. Monografia (Livre Docência) - Escola de Artes Ciências e Humanidades da Universidade de São Paulo. São Paulo, 2015.
KUMAR, S. Co-authorship networks: a review of the literature. Aslib Journal of Information Management, Bingley, v. 67, n. 1, p. 55-73, 2015.
LANE, J. Let's make science metrics more scientific. Nature, Stuttgart, v. 464, n. 7288, p. 488-489, 2010.
LEMIEUX, V.; OUIMET, M. Análise estrutural das redes sociais. Lisboa: Instituto Piaget, 2008.
LIBEN-NOWELL, D.; KLEINBERG, J. The link-prediction problem for social networks. Journal of the American Society for Information Science and Technology, New York, v. 58, n. 7, p. 1019-1031, 2007.
MEADOWS, A. J.; LEMOS, A. A. B. A comunicação científica. Brasília: Briquet de Lemos, 1999.
MENA-CHALCO, J. P.; DIGIAMPIETRI, L. A.; CESAR-JUNIOR, R. M. Caracterizando as redes de coautoria de currículos Lattes. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING, 1., 2012, Curitiba Anais… Curitiba: Brazilian Computing Society, 2012.
NEWMAN, M. E. J. The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, Washington, v. 98, n. 2, p. 404-409, 2001a.
NEWMAN, M. E. J. Scientific collaboration networks: I network construction and fundamental results. Physical Review E, Maryland, v. 64, n. 1, p. 0161311-0161318, 2001b.
NEWMAN, M. E. J. Scientific collaboration networks: II shortest paths, weighted networks, and centrality. Physical Review E, Maryland, v. 64, n. 1, p. 0161321-0161327, 2001c.
NEWMAN, M. E. J. The structure and function of complex networks. SIAM Review, Philadelphia, v. 45, n. 2, p. 167-256, 2003.
NEWMAN, M. E. J. Coauthorship networks and patterns of scientific collaboration. Proceedings of the National Academy of Sciences, Washington, DC, v. 101, suppl 1, p. 5200-5205, 2004.
PETERSEN, A. M. et al. Persistence and uncertainty in the academic career. Proceedings of the National Academy of Sciences, Washington, DC, v. 109, n. 14, p. 5213-5218, 2012.
PEREZ-CERVANTES, E. et al. Using link prediction to estimate the collaborative influence of researchers. In: IEEE INTERNATIONAL CONFERENCE ON ESCIENCE, 9., 2013, Beijin. Anais… Beijin: IEEE, p. 293-300, 2013.
SZWARCFITER, J. L. Grafos e algoritmos computacionais. 2. ed. Rio de Janeiro: Campus, 1986.
SCOTT, J. Social network analysis: a handbook. 2. ed. London: SAGE, 2009.
WASSERMAN, S.; FAUST, K. Social network analysis: methods and applications. 19. ed. Cambridge: Cambridge University Press, 2009.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2018 Em Questão
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
Authors will keep their copyright and grant the journal with the right of first publication, the work licensed under License Creative Commons Attribution (CC BY 4.0), which allows for the sharing of work and the recognition of authorship.
Authors can take on additional contracts separately for non-exclusive distribution of the version of the work published in this journal, such as publishing in an institutional repository, acknowledging its initial publication in this journal.
The articles are open access and free. In accordance with the license, you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
