: Introducing Semantic Friendship in Distributed Social Networks^*

Paraskevi Raftopoulou¹, Christos Tryfonopoulos¹, Euripides G.M. Petrakis², and Nikos Zevlis¹

¹University of Peloponnese, Tripoli, Greece
praftop@uop.gr
trifon@uop.gr
cst06027@uop.gr

²Technical University of Crete, Chania, Greece
petrakis@intelligence.tuc.gr

Abstract. Existing social networks are based on centralised architectures that manage users, store data, and monitor the security policy of the system. In this work, we present , a Distributed Social and Semantic Search System that allows users to share and search for content among friends and clusters of users that specialise on the query topic. In , nodes that are semantically, thematically, or socially similar are automatically discovered and logically organised into groups. Content retrieval is then performed by routing queries towards social friends and clusters of nodes that are likely to answer them. In this way, search receives two facets: the social facet, addressing friends, and the semantic facet, addressing nodes that are semantically close to the queries. Our experiments demonstrate that searching only among friends is not effective in distributed social networks, and showcase the necessity and importance of semantic friendship.

^*Research leading to these results has received funding from the EC’s 7th FP (FP7/2007-2013) under grant agreement No 604691 (Project Fi-Star).

LNCS 8185, p. 185 ff.

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