Title :
Mining and Analyzing Multirelational Social Networks
Author :
Stroele, Victor ; Oliveira, Jonice ; Zimbrão, Geraldo ; Souza, Jano M.
Author_Institution :
Grad. Sch. of Comput. Sci., Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
Abstract :
A social network is a social structure consisting of individuals or organizations, usually represented by nodes tied by one or more types of interdependency or relationship. This work focuses on using data mining techniques to identify intra and inter organization groups of people with similar profiles that could have relationships amongst them. For this, we construct a multi relational scientific social network where researchers may have four different types of relations with each other. In this paper, we analyze the scientific scenario in computing science in Brazil, assessing how researchers in the best universities and research centres collaborate and relate to each other.
Keywords :
data mining; social networking (online); Brazil; computing science; data mining techniques; group detection method; multirelational scientific social network analysis; social structure; Group detection; Social networks analysis; multirelational social networks; scientific collaboration;
Conference_Titel :
Computational Science and Engineering, 2009. CSE '09. International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-5334-4
Electronic_ISBN :
978-0-7695-3823-5
DOI :
10.1109/CSE.2009.69