COMMUNITY DETECTION IN THE COLLABORATIVE WEB

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 Web  communities and present an approach to automatically detect them, 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 labelled according to who is manipulating them. Our proposal relies on the fuzzy  K-means clustering method and is assessed on large movie datasets.