Analysis of the Network of Doctors working in Computing in Brazil

• Luciano A. Digiampietri University of São Paulo
• Caio M. Alves University of São Paulo
• Caio C. Trucolo University of São Paulo
• Romulo A.C. Oliveira University of São Paulo

Abstract

The Brazilian social and cultural diversity and the size of the countrymake any general analysis miss interesting details about the regional peculiarities.In this work, the Brazilian academic network of PhDs who work incomputer science is analyzed, as well as, their sub-networks in order to identifytheir characteristics in terms of relationships between doctors and the keywordsused in publications in each of the Brazilian states.

Keywords: Social Network Analysis, Academic Networks, Co-authoring Networks

References

Brand˜ao, M. A., Moro, M. M., Lopes, G. R., and Oliveira, J. P. (2013). Using link semantics to recommend collaborations in academic social networks. In Proceedings of the 22Nd International Conference on World Wide Web Companion, WWW ’13 Companion, pages 833–840, Republic and Canton of Geneva, Switzerland.

Digiampietri, L., Mena-Chalco, J., de Jésus Pérez-Alcázar, J., Tuesta, E. F., Delgado, K., and Mugnaini, R. (2012a). Minerando e caracterizando dados de currículos Lattes. In CSBC-BraSNAM 2012.

Digiampietri, L., Mena-Chalco, J., Silva, G. S., Oliveira, L., Malheiro, A., and Meira,

D. (2012b). Dinâmica das relações de coautoria nos programas de pós-graduação em computação no Brasil. In CSBC-BraSNAM 2012.

Digiampietri, L. A., Mena-chalco, J. P., Melo, P. O. V., Malheiros, A. P., 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, (no prelo):20.

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.

Gao, S., Denoyer, L., and Gallinari, P. (2012). Link prediction via latent factor blockmodel. In Proceedings of the 21st International Conference Companion on World Wide Web, WWW ’12 Companion, pages 507–508, New York, NY, USA. ACM.

Hew, K. F. (2011). Review: Students’ and teachers’ use of facebook. Comput. Hum. Behav., 27(2):662–676.

Hsieh, C.-J., Tiwari, M., Agarwal, D., Huang, X. L., and Shah, S. (2013). Organizational overlap on social networks and its applications. In Proceedings of the 22Nd International Conference on World Wide Web, WWW’13, pages 571–582, Republic and Canton of Geneva, Switzerland.

Lemieux, V. and Ouimet, M. (2008). Análise Estrutural das Redes Sociais. Instituto Piaget.

Melo-Minardi, R., Digiampietri, L., de Melo, P. O. V., Jr., G. F., and Oliveira, L. (2013). Caracterização dos programas de pós-graduação em bioinformática no Brasil. In CSBC-BraSNAM 2013.

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.

Miyata, B., Kano, V., and Digiampietri, L. (2013). Combinando mineração de textos e análise de redes sociais para a identificação das áreas de atuação de pesquisadores. In CSBC-BraSNAM 2013.

Xu, Y., Guo, X., Hao, J., Ma, J., Lau, R. Y. K., and Xu, W. (2012). Combining social network and semantic concept analysis for personalized academic researcher recommendation. Decis. Support Syst., 54(1):564–573.