Our paper “Social Network Analysis for Trust Prediction” by Davide Ceolin and Simone Potenza of KonnketID has been accepted at the IFIP Trust Management Conference 2017. This paper is the result of a Network Institute Voucher to establish a collaboration between our group and KonnektID and it is also partly funded by the COMMIT Big Data Veracity project.
Abstract: From car rental to knowledge sharing, the connection between online and offline services is increasingly tightening. As a consequence, online trust management becomes crucial for the success of services run in the physical world. In this paper, we outline a framework for identifying social web users more inclined to trust others by looking at their profiles. We use user centrality measures as a proxy of trust, and we evaluate this framework on data from Konnektid, a knowledge-sharing social Web platform. We introduce four metrics for measuring trust. Performance achieved an accuracy between 43% and 99%.