Social Network Analysis for Trust Prediction

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 five metrics for measuring trust. Performance achieved an accuracy between 43% and 99%.
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Communication dans un congrès
Jan-Philipp Steghöfer; Babak Esfandiari. 11th IFIP International Conference on Trust Management (TM), Jun 2017, Gothenburg, Sweden. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-505, pp.49-56, 2017, Trust Management XI. 〈10.1007/978-3-319-59171-1_5〉
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Davide Ceolin, Simone Potenza. Social Network Analysis for Trust Prediction. Jan-Philipp Steghöfer; Babak Esfandiari. 11th IFIP International Conference on Trust Management (TM), Jun 2017, Gothenburg, Sweden. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-505, pp.49-56, 2017, Trust Management XI. 〈10.1007/978-3-319-59171-1_5〉. 〈hal-01651167〉

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