Social Network Analysis for Trust Prediction

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...

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Bibliographic Details
Published inTrust Management XI pp. 49 - 56
Main Authors Ceolin, Davide, Potenza, Simone
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesIFIP Advances in Information and Communication Technology
Subjects
Betweenness Centrality
Combined Prediction
Eigenvector Centrality
Network Centrality Measures
Trust Others
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Summary: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%.
ISBN:9783319591704
3319591703
ISSN:1868-4238
1868-422X
DOI:10.1007/978-3-319-59171-1_5