Recommending items in social networks using cliques-based trust

Thematic groups are gaining a lot of attention and high centrality in online community, as users share opinions and/or mutually collaborate for reaching their targets. In this paper we consider the concept of clique in the social networks. A clique is a group of actors connected to each other more closely than the overall network of which they are a part. In the common language, the term clique means an informal and restricted social group formed by people who share common interests or characteristics. This paper proposes a new trust measure in social networks which focuses on cliques. In particular, we represent this scenario by means of a specific model, and we introduce an algorithm for detecting trust recommendations. We show a complete example of how our approach works.