Mining and analyzing organizational social networks for collaborative design

  • Authors:

  • Ricardo Silva;Victor Menezes;Jonice Oliveira;Moises Ferreira de Souza;Carlos Eduardo R. de Mello;Jano M. Souza;Geraldo Zimbrao

  • Affiliations:

  • COPPE/UFRJ - Graduate School of Computer Science, Federal University of Rio de Janeiro, PO Box 68.513, 21945-970, Brazil;COPPE/UFRJ - Graduate School of Computer Science, Federal University of Rio de Janeiro, PO Box 68.513, 21945-970, Brazil;UERJ - State of Rio de Janeiro University - Institute of Mathematics and Statistics (IME) - Informatics and Computer Science Department(DICC), Brazil;COPPE/UFRJ - Graduate School of Computer Science, Federal University of Rio de Janeiro, PO Box 68.513, 21945-970, Brazil;COPPE/UFRJ - Graduate School of Computer Science, Federal University of Rio de Janeiro, PO Box 68.513, 21945-970, Brazil;COPPE/UFRJ - Graduate School of Computer Science, Federal University of Rio de Janeiro, PO Box 68.513, 21945-970, Brazil;COPPE/UFRJ - Graduate School of Computer Science, Federal University of Rio de Janeiro, PO Box 68.513, 21945-970, Brazil

  • Venue:
  • CSCWD '09 Proceedings of the 2009 13th International Conference on Computer Supported Cooperative Work in Design
  • Year:
  • 2009

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Abstract

A social network is a social structure consisting of individuals or organizations usually represented by nodes tied by one or more types of relationships. The resulting structures are complex and analyzing them enables us to detect several inter and intra connection problems. This work focuses on using data mining techniques to identify intra and inter organization groups of people with similar profiles that could have relationships among them. The clusters identified allow us to identify the collaboration in the Brazilian scientific scenario of Computing Science, assessing how researchers in the best universities and research centres collaborate and relate to each other. This kind of approach can help in the identification and improvement of collaboration on innovative and multidisciplinary teams, especially on manufacturing and design scenarios.