Share This Article:

Studying Group Dynamics through Social Networks Analysis in a Medical Community

Abstract Full-Text HTML Download Download as PDF (Size:557KB) PP. 134-141
DOI: 10.4236/sn.2014.32017    4,335 Downloads   6,702 Views   Citations

ABSTRACT

In 2008, the Brazilian Department of Science and Technology created the INCTs (Brazilian Science and Technology Institutes). One of them was the Cancer Control INCT. Due to its importance and considering that there are different groups working together in the same area, it is important that they collaborate intensely. Envisioning an empowerment of scientific collaboration, the BRINCA project was created to support a set of analyses of the social networks from this particular INCT. These analyses were created by mining curricular and publications bases, and identifying different types of scientific relationships and areas. We were able to observe, for instance, how the interaction is amongst researchers from related areas, which researchers were more collaborative and which ones were isolated from the network. These analyzes were used by the INCT coordination to understand and act to improve scientific collaboration.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Albuquerque, R. , Oliveira, J. , Faria, F. , Monclar, R. and de Souza, J. (2014) Studying Group Dynamics through Social Networks Analysis in a Medical Community. Social Networking, 3, 134-141. doi: 10.4236/sn.2014.32017.

References

[1] INCTCC, “INCT Activity Report 2010—Home-INCA,” 2010. http://www1.inca.gov.br/inca/Arquivos/INCT/inct_project_2010.pdf
[2] R. A. Perorazio, F. F. Faria, R. Monclar, J. Oliveira and J. Souza, “Estudando Dinamicas de Grupo Através da Utili- za??o da Análise de Redes Sociais em uma Comunidade Médica,” Proceedings of the Brazilian Workshop on So- cial Network Analysisand Mining, XXXII Congress of the Brazilian Computer Society, Curitiba, 2012.
[3] J. C. Cordeiro, “Redes Sociais e Saúde,” Revista Hispana para Elanálisis de Redes Sociales, Vol. 12, No. 10, 2007.
[4] A. S. Klovdahl, “Social Networks and the Spread of In- fectious Diseases: The AIDS Example,” Social Science & Medicine, Vol. 21, No. 11, 1985, pp. 1203-1216. http://dx.doi.org/10.1016/0277-9536(85)90269-2
[5] M. Negreiros, et al., “Optimization Models, Statistical and DSS Tools for Dengue Prevention and Combat,” Efficient Decision Support Systems: Practice and Challenges in Biomedical Related Domain, INTECH Opena Access Publisher, Vol. 1, 2011, pp. 115-160.
[6] R. S. Monclar, “Análise e Balanceamento de Redes So- ciais no Contexto Científico,” M.Sc. Thesis, COPPE/ PESC, Universidade Federal do Rio de Janeiro, 2008.
[7] C. M. Morel, S. J. Serruya, G. O. Penna and R. Guimaraes, “Co-Authorship Network Analysis: A Powerful Tool for Strategic Planning of Research, Development and Capacity Building Programmes on Neglected Diseases,” PLoS Neglected Tropical Diseases, Vol. 3, No. 8, 2009. http://dx.doi.org/10.1371/journal.pntd.0000501
[8] A. Parent, F. Bertrand, G. C?té, et al., “Scientometric Study on Collaboration between India and Canada, 1990- 2001,” 2003. http://www.science-metrix.com/pdf/SM_2003_009_DFAIT_Indo-Canadian_S&T_Collaboration.pdf
[9] J. Owen-Smith, M. Riccaboni, F. Pammolli, et al., “A Comparison of U.S. and European University-Industry Relations in the Life Sciences,” Management Science, Vol. 48, No. 1, 2002, pp. 24-42. http://dx.doi.org/10.1287/mnsc.48.1.24.14275
[10] Lattes, “Lattes,” 2012. http://lattes.cnpq.br/
[11] Pubmed, “PubMed Home,” 2012. http://www.ncbi.nlm.nih.gov/pubmed
[12] Pentaho, “Pentaho Kettle Project,” 2012. http://kettle.pentaho.com
[13] Gephi, “Gephi,” 2012. http://gephi.org/
[14] Tableau, “Tableau Software,” 2012. http://www.tableausoftware.com/
[15] G. O. Fernandes, J. Oliveira and J. M. Souza, “XMLattes A Tool for Importing and Exporting Curricula Data,” International Conference on Information and Knowledge Engineering, Las Vegas, 2011.
[16] P. Benckendorff, “Exploring the Limits of Tourism Research Collaboration: A Social Network Analysis of Co- Authorship Patterns in Australian and New Zealand Tour- ism Research,” 20th Annual CAUTHE Conference, Ho- bart, Australia, 2010.
[17] A. H. F. Laender, et al., “Building a Research Social Net- work from an Individual Perspective,” ACM/IEEE Joint Conference on Digital Libraries, Ottawa, 2011, pp. 427- 428.
[18] R. S. Monclar, J. Oliveira and J. M. Souza, “Analysis and Balancing of Social Network to Improve the Knowledge Flow on Multidisciplinary Teams,” 13th International Con- ference on Computer Supported Cooperative Work in De- sign, Santiago, Chile, 2009.
[19] S. F. De Sousa, M. A. Balieiro and C. R. B. de Souza, “Análise Multidimensional de Redes Sociais de Projetos de Software Livre,” Proceedings of the 2008 Simpósio Brasileiro de Sistemas Colaborativos, Vila Velha, 27-29 October 2008, pp. 23-33. http://dx.doi.org/10.1109/SBSC.2008.35
[20] A. Perianes-Rodriguez, C. Olmeda-Gómez and F. Moya- Anegón, “Detecting, Identifying and Visualizing Re- search Groups in Co-Authorship Networks,” Scientometrics, Vol. 82, No. 2, 2010, pp. 307-319. http://dx.doi.org/10.1007/s11192-009-0040-z

  
comments powered by Disqus

Copyright © 2019 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.