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  Community Detection In The Collaborative Web
Title: Community Detection In The Collaborative Web
Author: Lylia Abrouk
David Gross-Amblard
Nadine Cullot
Appeared in: International journal of managing information technology
Paging: Volume 2 (2010) nr. 4 pages 1-9
Year: 2010
Contents: Most of the existing social network systems require from their users an explicit statement of theirfriendship relations. In this paper we focus on implicit Web communities and present an approach toautomatically detect them, based on user’s resource manipulations. This approach is dynamic as usergroups appear and evolve along with users interests over time. Moreover, new resources are dynamicallylabelled according to who is manipulating them. Our proposal relies on the fuzzy K-means clusteringmethod and is assessed on large movie datasets.
Publisher: Academy & Industry Research Collaboration Center (AIRCC) (provided by DOAJ)
Source file: Elektronische Wetenschappelijke Tijdschriften

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