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CIKM
2009
Springer

Potential collaboration discovery using document clustering and community structure detection

10 years 4 months ago
Potential collaboration discovery using document clustering and community structure detection
Complex network analysis is a growing research area in a wide variety of domains and has recently become closely associated with data, text and web mining. One of the most active areas in the study of complex networks is the detection of community structure, which can be related to the clustering problem in data mining. This paper employs a community structure detection algorithm for document clustering in order to discover potential relationships in a social network. The proposed approach is explored in a case study of potential collaboration discovery among the research staff in the Graduate Civil Engineering Department of the Federal University of Rio de Janeiro, Brazil. The results show that the combined use of both techniques provides useful insights on the relationships, both existent and potential, among individuals in the social network. Categories and Subject Descriptors H.3.4 [Systems and Software]: Information networks, H.2.8 [Database Applications]: Data Mining; H.3.3 [Inf...
Cristian Klen dos Santos, Alexandre Evsukoff, Beat
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where CIKM
Authors Cristian Klen dos Santos, Alexandre Evsukoff, Beatriz S. L. P. de Lima, Nelson F. F. Ebecken
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