Using tagging in social networks to find groups of compatible users

The users see social networks as a platform for exchanging their opinions about posted items. Such behavior is easily observed in tagging systems. Tagging is a process of annotating, by a single user, any items available on the network - called resources - by individuals. Items labeled by users, and labels used by users can be exploited to construct signatures representing users´ activities and interests. Once these signatures are built they provide a means to analyze levels of compatibility between users. The paper introduces fuzzy-based signatures that are built based on items and tags. It also describes a methodology supporting users in a process of selecting a group of users that satisfy their linguistically described requirements regarding the degree of matching between their interests and collective interests of a group. The collective interests of groups are determined by aggregating signatures of members of these groups. The user controls the aggregation process via linguistic quantifiers.