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

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

… Trust propagation methods can be categorized as the models that consider the witness …
from the social network [Ramchurn et al., 2004]. Here, we focus on trust propagation approaches …

… metrics, conceived as computational means to evaluate trust relationships between … trust
management through this work is twofold. First, we introduce a classification scheme for trust …

… 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. …

… 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 …

… In this article, we describe a trust propagation model based … The propagation of trust in our
model depends on three key factors: … in a social network with and without trust propagation to …

… networks. We first review the existing definitions of trust and define social trust in the context
of social networks. … aspects of social trust: trust information collection, trust evaluation, and …

… of a trust propagation strategy, including discovering trust paths, propagating trust along each
path, and aggregating trust … After that, we briefly review the literature on trust propagation. …

… 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 …