A process for characterization and analysis of networks scientific collaboration institutional

Authors

  • Thiago Magela Rodrigues Dias Centro Federal de Educação Tecnológica de Minas Gerais - CEFET-MG.
  • Roberth Santos Gomes Universidade do Estado de Minas Gerais.
  • Jhonatan Fernando Oliveira Universidade do Estado de Minas Gerais.
  • Gray Farias Moita Centro Federal de Educação Tecnológica de Minas Gerais - CEFET-MG.

DOI:

https://doi.org/10.5007/1518-2924.2017v22n48p59

Keywords:

Networks scientific collaboration, Data extraction, Recovery information

Abstract

http://dx.doi.org/10.5007/1518-2924.2017v22n48p59

Knowledge is, nowadays, a key factor in defining and analyzing the development of a country and its population as a whole. The construction of knowledge inevitably occurs through collaborations, where researchers gather towards common goals, forming the scientific collaboration networks. Such networks are characterized when researchers perform and publish their work jointly, regardless of the institution or geographic region in which they are located. The scientific collaboration between different institutions enables the exchange of knowledge and consequently effective exchange of experiences, promoting the evolution of science. In this context, analyzing such networks can provide knowledge as it has the scientific collaboration between research institutions and how these collaborations have contributed to the excellence of the research conducted. This job aims to analyze the network of institutional collaborations from data from Lattes Curriculum. Networks are characterized by collaboration between researchers from different institutions after the characterization of networks, large data visualization techniques and metrics of network analysis are applied to see how the national scientific collaboration has occurred.

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Author Biographies

Thiago Magela Rodrigues Dias, Centro Federal de Educação Tecnológica de Minas Gerais - CEFET-MG.

Professor do Centro Federal de Educação Tecnológica de Minas Gerais - CEFET-MG.

Roberth Santos Gomes, Universidade do Estado de Minas Gerais.

Mestrando em Modelagem Matemática e Computacional.

Jhonatan Fernando Oliveira, Universidade do Estado de Minas Gerais.

Professor da Universidade do Estado de Minas Gerais.

Gray Farias Moita, Centro Federal de Educação Tecnológica de Minas Gerais - CEFET-MG.

Professor do Centro Federal de Educação Tecnológica de Minas Gerais.

References

BEAVER, Donald B.; ROSEN, Robert. Studies in Scientific Collaboration: part I: the professional origins of scientific co-authorship. Scientometrics, v. 1, p. 64-84, 1978.

DIAS, Thiago. M. R. ; MOITA, Gray F ; DIAS, Patrícia M.; MOREIRA, Tales H. J. . Identificação e Caracterização de Redes Científicas de Dados Curriculares. iSys: Revista Brasileira de Sistemas de Informação, Rio de Janeiro , v. 07, p. 05-18, 2014.

DIAS, Thiago M. R.; MOITA, Gray F.A . Method for Identification of Collaborations in Large Scientific Databases. Em questão. Porto Alegre, v. 21. N. 2, mai./jul. 2015.

GOFFMAN, William; WARREN, Kenneth S. Scientific information systems and the principle of selectivity. New York: Praeger, 1980. p. 127.

LANE, J. Let's make science metrics more scientific. Nature, v. 464, n. 7288, p. 488-489, 25 mar. 2010.

NUDELMAN, Arthur. E.; LANDERS, Clifford. E. The failure of 100 divided by 3 to equal 33 1/3. The American Sociologist, v. 7, n. 9, 1972.

SIDONE, Otávio. J. G. ; Análise Espacial do Conhecimento no Brasil: Parte II - Redes de Colaboração Científica. Boletim de Informações FIPE - Temas de Economia Aplicada. n. 400, p. 19-27, 2014.

Published

2017-01-01

How to Cite

DIAS, Thiago Magela Rodrigues; GOMES, Roberth Santos; OLIVEIRA, Jhonatan Fernando; MOITA, Gray Farias. A process for characterization and analysis of networks scientific collaboration institutional. Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação, [S. l.], v. 22, n. 48, p. 59–72, 2017. DOI: 10.5007/1518-2924.2017v22n48p59. Disponível em: https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2017v22n48p59. Acesso em: 13 sep. 2024.

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