An application of bibliographic coupling of authors to the metric studies of information in Brazil
Scopus base (2014-2018)
DOI:
https://doi.org/10.19132/1808-5245.29.126406Keywords:
coupling of bibliographic reference, bibliographic coupling of authors, information metric studies, citation analysisAbstract
The relational analyzes of citations aim to map the thematic, theoretical and/or methodological similarities between articles, related to different variables: authors, documents, journals, countries or other units of analysis. There are two main methods of relational citation analysis: author bibliographic coupling analysis and author co-citation analysis, which, despite some similarities, present important differences and complement each other. This study aims to discuss theoretical, conceptual and applied aspects, inherent to the analysis of the author's bibliographic coupling, aiming to contribute to the reflections and development of theoretical-methodological studies and applied in the theme metric studies of information in Brazil, in the period from 2014 to 2018. More specifically, it aims to: know the proximity and proximity between researchers and their productions, in the articles typology, through the bibliographic coupling of authors; analyze the different looks and methodologies explained by the coupling, which define the identity of the citing authors, evaluating the proximity between them. The Scopus database was used, with a corpus of 731 articles produced in the period under analysis, on which the bibliographic coupling of authors was carried out. As a result, there was a predominance of researchers in the area of health, information science, engineering, management, and others with lesser prevalence. The bibliographic coupling network of authors with 36 most productive components and their respective connections was analyzed, with the strongest being the connections with the highest intensity of coupling between the two authors, through the citations in common between them. It was concluded that highly cited authors were found, but who were not coupled with prolific and well-known authors.
Downloads
References
CRONIN, B.; SHAW, D. Identity-creators and image-makers: using citation analysis and thick description to put authors in their place. Scientometrics, Dordrecht, v. 54, n. 1, p. 31-49, 2002. Acesso em: https://doi.org/10.1023/a:1015628320056. Disponível em: 20 jan. 2023.
DANUELLO, J. C. Produção científica docente em tratamento temático da informação no Brasil: uma abordagem métrica como subsídio para a análise do domínio. 2007. Dissertação (Mestrado em Ciência da Informação) - Faculdade de Filosofia e Ciências, Programa de Pós-Graduação em Ciência da Informação, Universidade Estadual Paulista, Marília, 2007.
EGGHE, L.; ROUSSEAU, R. Co-citation, bibliographic coupling and a characterization of lattice citation networks. Scientometrics, Dordrecht, v. 55, n. 3, p. 349-361, 2002. Disponível em: https://doi.org/10.1023/a:1020458612014. Acesso em: 20 jan. 2023.
GARFIELD, E. From Bibliographic coupling to co-citation analysis via algorithmic historio-bibliography: a citationnist’s tribute to Belver C Griffith. Philadelphia: Drexel University, 2001.
GLÄNZEL, W. Bibliometrics as a research field: a course on theory and application of bibliometric indicators. Bélgica: Course Handouts, 2003.
GRÁCIO, M. C. C.; OLIVEIRA, E. F. T. A inserção e o impacto internacional da pesquisa brasileira em "Estudos Métricos": uma análise na base Scopus. Tendências da Pesquisa Brasileira em Ciência da Informação, Rio de Janeiro, v. 5, n. 1, p. 1-19, 2012.
GRÁCIO, M. C. C. Análises relacionais de citação para a identificação de domínios científicos. São Paulo: Cultura Acadêmica, 2020.
HJØRLAND, B.; ALBRECHTSEN, H. Toward a new horizon in information science: domain-analysis. Journal of the American Society for Information Science, New York, v. 46, n. 6, p. 400-425, 1995. Disponível em: https://doi.org/10.1002/(SICI)1097-4571(199507)46:6%3C400::AID-ASI2%3E3.0.CO;2-Y. Acesso em: 20 jan. 2023.
HJØRLAND, B. Fundamentals of knowledge organization. Knowledge Organization, Baden-baden, v. 30, n. 2, p. 87-111, 2003.
HJØRLAND, B. Domain analysis: a socio-cognitive orientation for Information Science research. Bulletin of the American Society for Information Science and Technology, Leesburg, v. 30, n. 3, 2004. Disponível em: https://doi.org/10.1002/bult.312. Acesso em: 20 jan. 2023.
KESSLER, M. M. Bibliographic coupling between scientific papers. American Documentation, Leesburg, v. 14, n. 1, p. 10-25, 1963. Disponível em: https://doi.org/10.1002/asi.5090140103. Acesso em: 20 jan. 2023.
KESSLER, M. M. Comparison of the results of bibliographic coupling and analytic subject indexing. American Documentation, Leesburg, v. 16, n. 3, p. 223-233, 1965. Disponível em: https://doi.org/10.1002/asi.5090160309. Acesso em: 20 jan. 2023.
LU, K.; WOLFRAM, D. Geografic characteristics of the growth of informetrics literature 1987-2008. Journal of Informetrics, Amsterdam, v. 4, n. 4, p. 561-601, 2010. Disponível em: https://doi.org/10.1016/j.joi.2010.06.008. Acesso em: 20 jan. 2023.
MAI, J-E. Analysis in indexing: document and domain centered approaches. Information Processing and Management, Oxon, v. 41, n. 3, p. 599-611, 2005. Disponível em: https://doi.org/10.1016/j.ipm.2003.12.004. Acesso em: 20 jan. 2023.
MARSHAKOVA, I. V. Citation networks in Information Science. Scientometrics, Dordrecht, v. 3, n. 1, p. 13-26, 1981. Disponível em: https://doi.org/10.1007/bf02021861. Acesso em: 20 jan. 2023.
MEIRELES, M. R. G.; CENDÓN, B. V.; ALMEIDA, P. E. M. Bibliometric Knowledge Organization: a domain analytic method using Artificial Neural Networks. Knowledge Organization, Baden-baden, v. 41, n. 2, p. 145-159, 2014. Disponível em: https://doi.org/10.5771/0943-7444-2014-2-145. Acesso em: 20 jan. 2023.
MENEGHINI, R.; PACKER, A. L. The extent of multidisciplinary authorship of articles on scientometrics and bibliometrics in Brazil. Interciencia, Caracas, v. 35, n. 7, p. 510-514, 2010.
MIGUEL, S. Journals and scientific production in latin america and the caribbean: its visibility in scielo, redalyc and scopus. Revista Interameri¬cana de Bibliotecología, Medelín, v. 34, n. 2, p. 187-199, 2011.
OLIVEIRA, E. F. T. Estudos métricos da Informação no Brasil: indicadores de produção, colaboração, impacto e visibilidade. São Paulo: Cultura Acadêmica, 2018.
QIU, J. P.; DONG, K.; YU, H-Q. Comparative study on structure and correlation among author co-occurrence networks in bibliometrics. Scientometrics, Dordrecht, v. 101, p. 1345-1360, 2014. Disponível em: https://www.doi.org/10.1007/s11192-014-1315-6. Acesso em: 20 jan. 2023.
SMALL, H. Cocitation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, New York, v. 24, n. 4, p. 265-269, 1973. Disponível em: https://doi.org/10.1002/asi.4630240406. Acesso em: 20 jan. 2023.
STINSON, E. R.; LANCASTER, F. W. Synchronous versus diachronous methods in the measurement of obsolescence by citation studies. Journal of Information Science, London, v. 13, n. 2, p. 65-74, 1987. Disponível em: https://doi.org/10.1177/016555158701300201. Acesso em: 20 jan. 2023.
WHITE, H. D.; MCCAIN, K. W. Visualizing a discipline: an author co-citation analysis of Information Science, 1972-1995. Journal of the American Society for Information Science, New York, v. 49, n. 4, p. 327-355, 1998. Disponível em: https://doi.org/10.1002/(SICI)1097-4571(19980401)49:4%3C327::AID-ASI4%3E3.0.CO;2-4. Acesso em: 20 jan. 2023.
ZHAO, D.; STROTMANN, A. Evolution of research activities and intellectual influences in Information Science 1996-2005: Introducing author bibliographic coupling analysis. Journal of the American Society for Information Science and Technology, Hoboken, v. 59, n. 13, p. 2070-2086, 2008. Disponível em: https://doi.org/10.1002/asi.20910. Acesso em: 20 jan. 2023.
ZHAO, D.; STROTMANN, A. the knowledge base and research front of information science 2006-2010: an author cocitation and bibliographic coupling analysis. Journal of the American Society for Information Science and Technology, Hoboken, v. 65, n. 5, p. 995-1006, 2014. Disponível em: https://doi.org/10.1002/asi.23027. Acesso em: 20 jan. 2023.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Eurides Costa Tavares Nogueira, Ely Francina Tannuri de Oliveira
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.
