DocumentCode :
2892922
Title :
Tagging Resources, Tagging Communities
Author :
Abrouk, Lylia ; Gross-Amblard, David ; Cullot, Nadine ; Thion-Goasdou, Virginie
Author_Institution :
LE2I, Bourgogne Univ., Dijon, France
fYear :
2010
fDate :
12-14 April 2010
Firstpage :
1253
Lastpage :
1254
Abstract :
Most of the existing social network systems require from their users an explicit statement of their friendship relations. In this paper we focus on implicit communities of Web users and present an approach to automatically detect such communities based on user´s resource manipulations. This approach is dynamic as user groups appear and evolve along with users interests over time. Moreover, new resources are dynamically labeled according to who is manipulating them. Our proposal relies on the fuzzy K-mean clustering method and is assessed on large movie data sets.
Keywords :
Internet; fuzzy set theory; information retrieval; pattern clustering; social networking (online); Web users; fuzzy K-mean clustering method; social network systems; tagging communities; tagging resources; Classification algorithms; Clustering algorithms; Clustering methods; Fuzzy sets; Information technology; Motion pictures; Proposals; Social network services; Tagging; Voting; Clustering; Data sharing; Information networks; User distance; Web community;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: New Generations (ITNG), 2010 Seventh International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-6270-4
Type :
conf
DOI :
10.1109/ITNG.2010.206
Filename :
5501556
Link To Document :
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