… We hypothesized that people with high generalized trust may have social networks with
high closure, whereas those with high relationism may possess social networks with high self-…

… networks, distrust makes it hard to adapt them to WSNs. In this paper, we propose a new
unsupervised trust inference … metric to predict trust values in signed, and unsigned, networks. In …

… The approach to answer this question is usually called trust inference. In this paper, we
propose a new trust inference algorithm (Called RN-Trust) based on the resistive networks …

… In this paper, we proposed a trust inference model by discovering reliable trust paths between
two … optimal and reliable trust paths is always challenging in large online social networks. …

… Still it is an open issue to find out the optimal trust path towards the target user … , a trust
inference model (TMFPN) is proposed. In proposed method OSN is modeled as a fuzzy inference …

… to what extent trust is transitive along a social trust path. To address this problem, we first
propose a new complex social network structure that takes, besides trust, social relationships, …

… Trust can be used to reduce search complexity and to combine the beliefs of multiple agents.
A trust network is essentially an online social network, … In trust network inference, we focus …

… 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 …

… social network members, where the system rates members by inferring their degrees of trust.
In … that provides recommendations about trusted social network members. We compared the …

… social networking [5]. In our work, we aim at developing a trust management method for
mobile social networking… Then, the challenge we are addressing here is how to initiate trust …