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Current collaborative tagging systems do not allow community members to easily view available data related to their communities. In this paper, we present our study on community formation centered around common interests, utilizing data from del.icio.us. We propose an approach to clustering tags and users based on their similarity. We also report some practical results related to implicit grouping of tags and users.