Redes sociais do SBSI e o corte de vertices como base para identificar atores importantes na coesão de grupos de pesquisa
Resumo
Utilizando os dados dos Anais do SBSI, foram criadas redes de colaboração entre pesquisadores e redes de colaboração entre instituições para cada um dos simpósios. Neste artigo são apresentados alguns conceitos relativos a redes sociais e tambem alguns resultados obtidos com duas medidas baseadas em corte de vértices.
Palavras-chave:
Redes sociais, coesão, grupos de pesquisa
Referências
Berge, C. (1962). The theory of graphs and its applications / by Claude Berge ; translated by Alison Doig. Methuen ; Wiley, London : New York :.
Bondy, J. A. (1976). Graph Theory With Applications. Elsevier Science Ltd.
Getoor, L. and Diehl, C. P. (2005). Link mining: a survey. SIGKDD Explor. Newsl., 7:3–12.
Harary, F. (1994). Graph Theory. Westview Press.
Jamali, M. and Abolhassani, H. (2006). Different aspects of social network analysis. In Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on, pages 66 –72.
Newman, M. (2004a). Who is the best connected scientist? a study of scientific coauthorship networks. In Ben-Naim, E., Frauenfelder, H., and Toroczkai, Z., editors, Complex Networks, volume 650 of Lecture Notes in Physics, pages 337–370. Springer Berlin / Heidelberg.
Newman, M. E. J. (2004b). Coauthorship networks and patterns of scientific collaboration. In Proceedings of the National Academy of Sciences, pages 5200–5205.
Nizamani, S. and Memon, N. (2011). Evolution of terrorist network using clustered approach: A case study. European Intelligence and Security Informatics Conference, 0:116–122.
Ozgul, F., Atzenbeck, C., and Erdem, Z. (2011). How much similar are terrorists networks of istanbul? Social Network Analysis and Mining, International Conference on Advan- ces in, 0:468–472.
Reijers, H. A., Song, M., Romero, H., Dayal, U., Eder, J., and Koehler, J. (2009). A collaboration and productiveness analysis of the bpm community. In Proceedings of the 7th International Conference on Business Process Management, BPM ’09, pages 1–14, Berlin, Heidelberg. Springer-Verlag.
Wang, C., Tang, J., Sun, J., and Han, J. (2011). Dynamic social influence analysis through time-dependent factor graphs. Social Network Analysis and Mining, International Conference on Advances in, 0:239–246.
Wang, J.-H. and Lin, C.-L. (2011). An association model based on modus operandi mining for implicit crime link construction. Social Network Analysis and Mining, International Conference on Advances in, 0:548–550.
Bondy, J. A. (1976). Graph Theory With Applications. Elsevier Science Ltd.
Getoor, L. and Diehl, C. P. (2005). Link mining: a survey. SIGKDD Explor. Newsl., 7:3–12.
Harary, F. (1994). Graph Theory. Westview Press.
Jamali, M. and Abolhassani, H. (2006). Different aspects of social network analysis. In Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on, pages 66 –72.
Newman, M. (2004a). Who is the best connected scientist? a study of scientific coauthorship networks. In Ben-Naim, E., Frauenfelder, H., and Toroczkai, Z., editors, Complex Networks, volume 650 of Lecture Notes in Physics, pages 337–370. Springer Berlin / Heidelberg.
Newman, M. E. J. (2004b). Coauthorship networks and patterns of scientific collaboration. In Proceedings of the National Academy of Sciences, pages 5200–5205.
Nizamani, S. and Memon, N. (2011). Evolution of terrorist network using clustered approach: A case study. European Intelligence and Security Informatics Conference, 0:116–122.
Ozgul, F., Atzenbeck, C., and Erdem, Z. (2011). How much similar are terrorists networks of istanbul? Social Network Analysis and Mining, International Conference on Advan- ces in, 0:468–472.
Reijers, H. A., Song, M., Romero, H., Dayal, U., Eder, J., and Koehler, J. (2009). A collaboration and productiveness analysis of the bpm community. In Proceedings of the 7th International Conference on Business Process Management, BPM ’09, pages 1–14, Berlin, Heidelberg. Springer-Verlag.
Wang, C., Tang, J., Sun, J., and Han, J. (2011). Dynamic social influence analysis through time-dependent factor graphs. Social Network Analysis and Mining, International Conference on Advances in, 0:239–246.
Wang, J.-H. and Lin, C.-L. (2011). An association model based on modus operandi mining for implicit crime link construction. Social Network Analysis and Mining, International Conference on Advances in, 0:548–550.
Publicado
16/05/2012
Como Citar
DE OLIVEIRA, Edvaldo Artmann; DIAS, Vania M. Fêlix.
Redes sociais do SBSI e o corte de vertices como base para identificar atores importantes na coesão de grupos de pesquisa. In: SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 8. , 2012, São Paulo.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2012
.
p. 204-215.
DOI: https://doi.org/10.5753/sbsi.2012.14406.
