Caracterizando Departamentos e Programas de Computação Utilizando Análise de Redes Sociais e Bibliometria
Abstract
In this paper we compare the graduate programs in Computer Science of levels 6 and 7 (which CAPES assume to be equivalent to the international best) and those programs best ranked in three international rankings. We used both bibliometric metrics and social networks analysis and found out that there is a great difference between the results achieved by the national and international programs. The results from a principal component analysis show that the Brazilian programs are a class of their own and do not share the characteristics of the best international graduate programs.
References
Digiampietri, L. A., Mena-Chalco, J., Perez-Alcazar, J. J., Tuesta, E. F., Delgado, K., and Mugnaini, R. (2012). Minerando e caracterizando dados de currículos Lattes. In BraSNAM 2012, page 12, Curitiba, PR, Brasil.
Digiampietri, L. A., Mena-Chalco, J. P., Vaz de Melo, P. O. S., Malheiro, A. P. R., Meira, D. N. O., Franco, L. F., and Oliveira, L. B. (2014). BraX-Ray: An X-Ray of the Brazilian Computer Science Graduate Programs. PLoS ONE, 9(4):e94541.
Duffy, R. D., Jadidian, A., Webster, G. D., and Sandell, K. J. (2011). The research productivity of academic psychologists: assessment, trends, and best practice recommendations. Scientometrics, 89(1):207–227.
Franceschet, M. (2011). Collaboration in computer science: A network science approach. Journal of the American Society for Information Science and Technology, 62(10):1992–2012.
Freire, V. and Figueiredo, D. (2011). Ranking in collaboration networks using a group based metric. Journal of the Brazilian Computer Society, pages 1–12.
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46):16569–16572.
Laender, A., de Lucena, C., Maldonado, J., de Souza e Silva, E., and Ziviani, N. (2008). Assessing the research and education quality of the top Brazilian Computer Science graduate programs. ACM Special Interest Group on Computer Science Education, 40(2):135–145.
Leite, P., Mugnaini, R., and Leta, J. (2011). A new indicator for international visibility: exploring Brazilian scientific community. Scientometrics, 88:311–319.
Lemieux, V. and Ouimet, M. (2008). An´alise Estrutural das Redes Sociais. Instituto Piaget.
Menezes, G. V., Ziviani, N., Laender, A. H. F., and Almeida, V. (2009). A geographical analysis of knowledge production. In in Computer Science In Proceedings of the 18th international conference on World Wide Web, pages 1041–1050.
Mugnaini, R., Digiampietri, L. A., de Oliveira, L. C., and Ferreira, S. M. S. P. (2012). Normalização de nomes de autores em fontes de informação institucionais: proposta de um método automático de verificação de erros. Em Questão, 18(3):263–279.
Scott, J. (2009). Social network analysis: a handbook. SAGE, 2 edition.
Ulrik, B. and Erlebach, T. (2005). Network Analysis: Methodological Foundations. Springer-Verlag.
Wainer, J. and Vieira, P. (2013). Correlations between bibliometrics and peer evaluation for all disciplines: the evaluation of Brazilian scientists. Scientometrics, 96(2):395–410.
Digiampietri, L. A., Mena-Chalco, J. P., Vaz de Melo, P. O. S., Malheiro, A. P. R., Meira, D. N. O., Franco, L. F., and Oliveira, L. B. (2014). BraX-Ray: An X-Ray of the Brazilian Computer Science Graduate Programs. PLoS ONE, 9(4):e94541.
Duffy, R. D., Jadidian, A., Webster, G. D., and Sandell, K. J. (2011). The research productivity of academic psychologists: assessment, trends, and best practice recommendations. Scientometrics, 89(1):207–227.
Franceschet, M. (2011). Collaboration in computer science: A network science approach. Journal of the American Society for Information Science and Technology, 62(10):1992–2012.
Freire, V. and Figueiredo, D. (2011). Ranking in collaboration networks using a group based metric. Journal of the Brazilian Computer Society, pages 1–12.
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46):16569–16572.
Laender, A., de Lucena, C., Maldonado, J., de Souza e Silva, E., and Ziviani, N. (2008). Assessing the research and education quality of the top Brazilian Computer Science graduate programs. ACM Special Interest Group on Computer Science Education, 40(2):135–145.
Leite, P., Mugnaini, R., and Leta, J. (2011). A new indicator for international visibility: exploring Brazilian scientific community. Scientometrics, 88:311–319.
Lemieux, V. and Ouimet, M. (2008). An´alise Estrutural das Redes Sociais. Instituto Piaget.
Menezes, G. V., Ziviani, N., Laender, A. H. F., and Almeida, V. (2009). A geographical analysis of knowledge production. In in Computer Science In Proceedings of the 18th international conference on World Wide Web, pages 1041–1050.
Mugnaini, R., Digiampietri, L. A., de Oliveira, L. C., and Ferreira, S. M. S. P. (2012). Normalização de nomes de autores em fontes de informação institucionais: proposta de um método automático de verificação de erros. Em Questão, 18(3):263–279.
Scott, J. (2009). Social network analysis: a handbook. SAGE, 2 edition.
Ulrik, B. and Erlebach, T. (2005). Network Analysis: Methodological Foundations. Springer-Verlag.
Wainer, J. and Vieira, P. (2013). Correlations between bibliometrics and peer evaluation for all disciplines: the evaluation of Brazilian scientists. Scientometrics, 96(2):395–410.
Published
2016-07-05
How to Cite
Luciano Digiampietri, Ricardo Linden, and Lenin Barbosa. 2016.
Caracterizando Departamentos e Programas de Computação Utilizando Análise de Redes Sociais e Bibliometria. In Proceedings of the 5th Brazilian Workshop on Social Network Analysis and Mining, July 05, 2016, Porto Alegre, Brasil. SBC, Porto Alegre, Brasil, 67-78. DOI: https://doi.org/10.5753/brasnam.2016.6444.
