Visibilidad de los estudios en análisis de redes sociales en América del Sur: su evolución y métricas de 1990-2013
Palavras-chave:
Análisis de redes sociales, América del Sur, Bibliometría, CientometríaResumo
El estudio visa analizar la productividad científica de los países de América del Sur sobre el tema de los Análisis de Redes Sociales, según la representación de los países, instituciones, investigadores y referencias teóricas (las citas utilizadas en estas producciones). Estudio temporal de 1990 hasta 2013 (31/5/2013); descriptivo bibliográfico por averiguar el estado de las Análisis de Redes
Sociales en contenidos de la literatura blanca; cuantitativo por aplicar volúmenes de datos de frecuencia de publicación y de citas utilizando técnicas de la Bibliometría y Cientometría; la coleta de datos fue total en la base de datos Web of Science, refinando los datos para los países seleccionados Argentina n=166, Brasil n=775, Bolivia n=28, Chile n=179, Colombia n=78, Ecuador n=19, Paraguay n=8, Perú n=33, Uruguay n=21, Venezuela n=48. Los países Guyana Francesa, Islas Malvinas, Suriname no publicaran
ningún artículo recuperando n=922 artículos científicos; el tratamiento de los datos fue en Statistical Package for the Social Sciences, CiteSpace y DetDraw. Como datos relevantes, las principales relaciones por países fueron en especial con los Estados Unidos de América, cooperados con Brasil, Argentina, Chile, Venezuela y Perú. Entre los países de América del Sur la centralidad de la red se hace por Brasil, Argentina y Chile.
Downloads
Referências
Amin, M.; Mabe, M. Impact factors: Use and abuse. Perspectives in Publishing, Langford Lane, n.1, p.1-6, Oct. 2000. Available from: <http://cdn.elsevier.com/assets/pdf_file/0014/111425/Perspectives1.pdf>. Cited: Jul. 20, 2013.
Bourdieu, P. Outline of a theory of practice. New York: Cambridge University, 1977.
Bradford, S. C. Sources of information on specific subject. Engineering: An illustrated weekly journal, v.137, n. 3550, p.85-86, 1934.
Chen, C. Mapping scientific frontiers: The quest for knowledge visualization. New York: Springer-Verlag, 2003.
Cronin, B. The citation process: The role and significance of citations in scientific communication. London: Taylor Graham, 1984.
Egghe, L.; Rousseau, R. Transfer principles and a classification of concentration measures. Journal of the American Society for Information Science, v.42, n.7, p.479-489, 1991.
Frakes, W.B. Stemming Algorithms. In: Frakes, W.B.; Baeza-Yates, R. (Ed.). Information retrieval: Data structures and algorithms. Englewood Cliffs: Prentice-Hall, 1992. p.131-160.
Frame, J.D.; Narin, F.; Carpenter, J.P. The distribution of world science. Social Studies of Science, v.7, n.4, p.501-16, 1977.
Freeman, L.C. The Development of social network analysis: A study in the sociology of science. Vancouver: Empirical, 2004.
Garfield, E. Quantitative analysis of the scientific literature and its implications for science policymaking in Latin America and the Caribbean. Bulletin of PAHO, v.29, n.1, p.87-95, 1955.
Gibbs, W.W. Lost science in the third world. Scientific American, v.273, n.2, p.76-83, 1995.
Granovetter, M. Economic action and social structure: The problem of embed-dedness. American Journal of Sociology. v.91, n.3, p.481-510, 1985.
Gross, P.L.K.; Gross, E.M. College libraries and chemical education. Science, v.66, n.1713, p.358-389, 1927.
Heider, F. Attitudes and cognitive organization. Journal of Psychology, n.21, p.107-112, 1946.
Honkela, T. et al. Exploracion of full-text databases with self-organizing maps. In: International Conference on Neural Networks, 1., 1996, Piscataway. Proceedings… Piscataway: IEEE Service Center, 1996. p.56-61.
Kohonen, T. Self-organized formation of topologically correct feature maps. Biological Cybernetics, v.43, n.1, p.59-69, 1982.
Kucera, H.; Francis, N. Computational analysis of presentday American English. Providence, RD: Brown University Press, 1967.
Litwin, H. The network shifts of elderly immigrants: The case of Soviet Jews in Israel. Journal of Cross Cultural Gerontology, n.12, p.45-60, 1997.
Lotka, A.J. The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, v.16, n.12, p.317-323, 1926.
Moreno, J.L. Who shall survive? New York: Beacon House, 1934.
Narin, F.; Hamilton, K.; Olivastro, D. The increasing linkage between U.S. technology and public science. Research Policy, v.26, n.3, p.317-330, 1997.
Organization for Economic Cooperation and Development. Manual de Frascati: propuesta de norma práctica para encuestas de investigación y desarrollo experimental. Paris: OCDE, 1975.
Price, D.J.S. Little science, big science. New York: Columbia University, 1964.
Salton, G.; Buckley, C.; Yu, C.T. An evaluation of term dependence models in information retrieval. In: Annual ACM Conference on Research and Development in Information Retrieval, 5., 1982, Berlin. Proceedings… Berlin: Springer Heidelberg, 1982. p.151-173.
Schubert, A.; Glänzel, W.; Braun, T. Scientometric datafiles: A comprehensive set of indicators on 2649 journals and 96 countries in all major science fields and subfields 1981-1985. Scientometrics, v.16, n.1, p.3-478, 1989.
Thompson, J.W. The death of the scholarly monograph in the humanities? Citation patterns in literary scholarship. Libri, v.52, n.3, p.121-36, 2002.
Thomson Reuters. Products & Services, 2010. Avaliable from: <http://thomsonreuters.com/products_services/science/science_products/a-z/isi_web_of_knowledge/>. Cited: Jun. 24, 2013.
White, H.D. Author-centered bibliometrics through CAMEOs: Characterizations automatically made and edited online. Scientometrics, v.51, n.3, p.607-637, 2001.
White, H.D.; McCain, K.W. Bibliometrics. Annual Review of Information Science and Technology, n.24, p.119-186, 1989.
Zipf, G.K. Human behavior and the principle of least effort. Addison-Wesley: Cambridge Mass, 1949.
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2022 Transinformação
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.