Temporal Characterization of Scientific Collaboration Networks in Brazilian Universities: Years 2000-2013

• Michel Boaventura Federal University of Minas Gerais
• Karina Boson Federal University of Minas Gerais
• Ana Paula Couto da Silva Federal University of Minas Gerais
• Adriano Veloso Federal University of Minas Gerais
• Wagner Meira Junior Federal University of Minas Gerais

Abstract

The temporal analysis of scientific collaboration networks is crucialfor understanding the emergence of new areas of research as well as the evolutionof the impact of the scientific production. Furthermore, effective grantpolicies can be defined. This paper presents the study of the evolution of theBrazilian scientific collaboration network, through classical metrics of complexnetworks as well as endogamy and stable research groups metrics.

Keywords: Scientific Collaboration Networks, Time Analysis, Social Network Analysis

References

Alves, B. L., Benevenuto, F., and Laender, A. H. (2013). The role of research leaders on the evolution of scientific communities. In Proceedings of the 22nd international conference on World Wide Web companion, WWW ’13 Companion, pages 649–656.

de Melo-Minardi, R. C., Diampietri, L. A., de Melo, P. O., Jr., G. R. F., and Oliveira, L. B. (2013). Caracterização dos programas de pós-graduação em bioinformática no Brasil. In II Brazilian Workshop on Social Network Analysis and Mining - XXXIII CSBC.

Herzog, T. N., Scheuren, F. J., and Winkler, W. E. (2007). Data Quality and Record Linkage Techniques. Springer Publishing Company, Incorporated, 1st edition.

Kronegger, L., Ferligoj, A., and Doreian, P. (2011). On the dynamics of national scientific systems. Quality & Quantity, 45(5):989–1015.

Lima, H., Silva, T. H., Moro, M. M., Santos, R. L., Meira, Jr., W., and Laender, A. H. (2013). Aggregating productivity indices for ranking researchers across multiple areas. In Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL ’13, pages 97–106, New York, NY, USA. ACM.

Maia, G., de Melo, P. O. V., Guidoni, D. L., Soares, C. A., Silva, T. H., Almeida, J. M., Souza, F. S., and Loureiro, A. A. (2012). Analise da rede de colaboração do simpósio brasileiro de redes de computadores e sistemas distribuídos: As primeiras 30 edições. In Proceedings do XXX Simpósio Brasileiro de Redes de Computadores.

Miyata, B. K. O., Kano, V. Y., and Digiampietri, L. A. (2013). Combinando mineração de textos e análise de redes sociais para a identificação das áreas de atuação de pesquisadores. In II Brazilian Workshop on Social Network Analysis and Mining - XXXIII CSBC.

Montolio, S. L., Dominguez-Sal, D., and Larriba-Pey, J. L. (2013). Research endogamy as an indicator of conference quality. SIGMOD Rec., 42(1):11–16.

Newman, M. E. J. (2003). The structure and function of complex networks. SIAM Review, 45(2):167–256.

Newman, M. E. J. (2004). Coauthorship networks and patterns of scientific collaboration. In Proceedings of the National Academy of Sciences, pages 5200–5205.

Stokols, D., Hall, K., Taylor, B., and Moser, R. (2008). The science of team science: overview of the field and introduction to the supplement. American Journal of Preventive Medicine, 35(2):77–89.