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Towards Semantic Profiling in Social Networks

The growing available implicit knowledge about people in social networks is fostering a new generation of advanced services centered on the actual needs of persons. Precondition to them is to provide an explicit formal specification of what is known about people taking part in the social network. This specification should be in the terms of a shared conceptualization of one or more domains of interest related to the social network scope. Here we propose a method to provide semantic profiles of people taking part in a social network concerning a specific domain of interest. Our method is an inference process based on the topological structure of the relationships between people, on existing explicit interests, and on the assumption that each person has own beliefs and is partly influenced by friends. In particular, the introduced approach allows estimating a semantic profile of a newcomer, i.e., a new person joining a social network, and how it will evolve over time.