… To implement the proposed strategies for measuring level of trust based on trust propagation,
we adopted Reinforcement Learning algorithm. Reinforcement Learning is particularly well …

… of measuring subjective uncertainty within a trust relationship. This paper studies trust
propagation and trust network evaluation in social networks by using uncertainty theory. First, we …

… networks to protect against malicious peers. This paper proposed a trust-aware propagation
model based on the social network … the propagation characteristics and regularity of trust …

… , a Trust and Reputation System based on the propagation of the positive and negative opinions
of the users in a social network in … the transitivity of trust and distrust in a social network. …

… Our setup is based upon a social network with an average outdegree of six trust assignments
and 384 nodes reached by trust energy spreading from our designated trust source. We …

… tools to calculate dynamically inter agents trust and influence. … trust and reputation in
social networks and to point out several open questions concerning the integration of trust and …

… transitivity of trust in social networks. In other words, our model takes the trust propagation into
… model [9] does not support trust propagation and they list trust propagation as future work. …

… To obtain a complete trust relationship of … trust propagation operator is proposed to estimate
the trust relationship between pairs of unknown experts. The novelty of this trust propagation …

… Building on the above model of a social network as a graph, we propose a model called
CertProp that handles the propagation of trust. CertProp is based on three operators. …

… trust propagating process using trusted third parters (TTP) may produce information attenuation
that makes trust … will investigate a novel dual trust propagation operator based on the t-…