… On the other side, Social network analysis is significant to ensure the quality and … of social
network in LSGDM. On the one hand, this work introduces the application of social network …

… between experts to promote consensus brings about social network group decision-making
(… minimum cost consensus model to coordinate the assessment of experts in a social network…

… Most trust-based consensus models use trust relationships to perform two functions: the
calculation of the weights of DMs [4], [36] and the generation of adjustment recommendations [37…

… and tolerance behaviors on the consensus modeling, we further develop the ε-… social
media, it is noteworthy that the MCC problem was also recently generalized to social networks …

… establish a data-driven robust cost consensus model induced by uncertain weights to deal …
classes of data-driven robust consensus models under uncertain environments are proposed. …

… consensus framework based on social network analysis (SNA) to deal with non-cooperative
behaviors. In the proposed SNA-based consensus … , a consensus model with minimum cost …

… this paper proposes a consensus model based on an influence network which is inferred …
consensus models for LSGDM in social network environment, information about social network …

… a consensus model based on the trust-consensus multiplex network by combing trust
social network … In this section, we propose a consensus model based on the trust-consensus …

… of the minimum cost consensus model is too optimistic, and the robust consensus model is
… [22] studied the minimum adjustment of consensus model in social networks and proposed …

… consensus reaching process based on the Louvain algorithm, social network, and bounded
confidence (SNBC) model … expert opinions and social network relationships among experts. …