Identifying Workgroups in Brazilian Scientific Social Networks

Victor Ströele (Federal University of Rio de Janeiro, Brazil)

Ricardo Silva (Federal University of Rio de Janeiro, Brazil)

Moises Ferreira de Souza (Federal University of Rio de Janeiro, Brazil)

Carlos Eduardo R. de Mello (Federal University of Rio de Janeiro, Brazil)

Jano M. Souza (Federal University of Rio de Janeiro, Brazil)

Geraldo Zimbrao (Federal University of Rio de Janeiro, Brazil)

Jonice Oliveira (Federal University of Rio de Janeiro, Brazil)

Abstract: Social networks are social structures consisting of individuals or organizations, usually represented by nodes tied by one or more types of relationships. Although these structures are often complex, analyzing them enables us to detect several inter and intra connections amongst people in and outside their organizations. In this context, we present an approach using data mining techniques in order to identify intra and inter organizational linkages amongst groups of people with similar profiles. Using clustering techniques, we identify groups of people in a way that allows us to evaluate how researchers collaborate in the Brazilian scientific scenario of Computing Science. Besides this, we are able to understand how research flows amongst the best universities and research centres in Brazil. Understanding the Scientific Brazilian scenario can help the development of research in other scenario or even in other Social Network Types.

Keywords: data mining, group detection, scientific collaboration, scientific social networks analysis

Categories: J.1, J.4, K.4.2, K.4.3, L.6, L.6.2