We investigate the properties of trust propagation on networks, based on the notion of transitivity, and we introduce the TISoN model to generate and evaluate ...
The problem of trust inference or trust prediction between two users in online social networks or two nodes in general networks bears some similarity with the ...
We investigate the properties of trust propagation on networks, based on the notion of transitivity, and we introduce the TISoN model to generate and evaluate ...
We study the problem of trust inference in signed social networks, in which, in addition to rating items, users can also indicate their disposition towards ...
We investigate the properties of trust propagation on networks, based on the notion of transitivity, and we introduce the TISoN model to generate and evaluate ...
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Dec 23, 2022 · The proposed method “Trust Inference Model in Online Social Networks Using Fuzzy Petri Nets (TMFPN)” computes the user trust value through two phases.
Feb 13, 2020 · The aim of this paper is proposing a descriptive, simple and effective method for calculating the maximal trust and the trust route between any two users of an ...
Our method is based on co-citation and transpose trust propagation. We determine on average how differently two users trust or are trusted by other users, and ...
Fast Trust Computation in Online Social Networks - J-Stage
www.jstage.jst.go.jp › transcom › _article
To address this need we propose a method for fast trust computation that is suitable for very large social networks. Our method uses min-max trust propagation ...
Experiments on four real-world social networks show that our algorithm is very fast, provides good predictions, and is robust to network sparsity. Introduction.