Propagation of trust and distrust
Proceedings of the 13th international conference on World Wide Web
Propagation Models for Trust and Distrust in Social Networks
Information Systems Frontiers
Investigating interactions of trust and interest similarity
Decision Support Systems
Community gravity: measuring bidirectional effects by trust and rating on online social networks
Proceedings of the 18th international conference on World wide web
Enriching Trust Prediction Model in Social Network with User Rating Similarity
CASON '09 Proceedings of the 2009 International Conference on Computational Aspects of Social Networks
Trust and nuanced profile similarity in online social networks
ACM Transactions on the Web (TWEB)
Controversial users demand local trust metrics: an experimental study on Epinions.com community
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Trust, distrust and lack of confidence of users in online social media-sharing communities
Knowledge-Based Systems
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Trust management is of high importance in constantly growing social network systems. In particular, accurate automatic trust prediction tools can be very useful to support users of these virtual environments, especially newcomers. The aim of this work is to experimentally evaluate two groups of attributes: graph-based and those based on user ratings, in prediction of trust and distrust between a pair of users in a social network. An implementation of the C4.5 decision tree algorithm is used. The experiments are run on the real dataset: freely available, extended version of epinions.com dataset and on a wide array of attributes. The results demonstrate that a combined graph-based and review-based classifier outperforms the classifiers reported in previous related works.