DocumentCode :
1809214
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
Volume :
4
fYear :
2009
fDate :
29-31 Aug. 2009
Firstpage :
711
Lastpage :
716
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;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/CSE.2009.69
Filename :
5283479
Link To Document :
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