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