Consensus reaching for social network group decision making by considering leadership and bounded confidence

Z Zhang, Y Gao, Z Li - Knowledge-Based Systems, 2020 - Elsevier
… partition algorithm to detect sub-networks of experts, based on … a consensus reaching
algorithm is further developed. To demonstrate the performance of the proposed consensus model

[HTML][HTML] Consensus reaching process in large-scale group decision making based on bounded confidence and social network

Y Li, G Kou, G Li, Y Peng - European Journal of Operational Research, 2022 - Elsevier
… In addition, the known group consensus model ignores the trust relationship between
experts, so it can not directly guide the group decision-making behavior under the …

Trust-consensus multiplex networks by combining trust social network analysis and consensus evolution methods in group decision-making

T Wu, X Liu, J Qin, F Herrera - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
… 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

Consensus opinion model in online social networks based on influential users

A Mohammadinejad, R Farahbakhsh, N Crespi - IEEE Access, 2019 - ieeexplore.ieee.org
… It is in this way that opinion propagates through a network. The aim of this article is to
propose an opinion consensus model in a networked social group based on link analysis. For …

[HTML][HTML] From social network (centralized vs. decentralized) to collective decision-making (unshared vs. shared consensus)

C Sueur, JL Deneubourg, O Petit - PLoS one, 2012 - journals.plos.org
consensus emerges from the properties of social networks in many biological systems. We
created artificial social networksmodel to make predictions about the patterns of consensus

Consensus analysis of three‐way social network data

WH Batchelder, E Kumbasar… - Journal of Mathematical …, 1997 - Taylor & Francis
… We designed a program for the consensus model for three-way social network data that
allows one to insert any energy function based on the parameters Hip F¡j,and Zjk and the data R;…

A minimum adjustment consensus framework with compromise limits for social network group decision making under incomplete information

Y Yuan, D Cheng, Z Zhou - Information Sciences, 2021 - Elsevier
… However, few consensus models have addressed the compromise limit behaviors in SN-…
social influence and social network, this paper proposes a nonlinear optimization model to …

Consensus convergence in large-group social network environment: Coordination between trust relationship and opinion similarity

Z Du, S Yu, H Luo, X Lin - Knowledge-Based Systems, 2021 - Elsevier
… 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…

Consensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contexts

H Zhang, Y Dong, J Xiao, F Chiclana… - Reliability Engineering & …, 2021 - Elsevier
social network interactions. Thus, this study first proposes a social network consensus model
with minimum adjustment distance to assist FMEA participants in attaining a consensus, in …

A social network analysis trust–consensus based approach to group decision-making problems with interval-valued fuzzy reciprocal preference relations

J Wu, F Chiclana - Knowledge-Based Systems, 2014 - Elsevier
… In this article, we focus on one type of social networks in which the users … consensus
models are static in nature because they do not produce any type of rules to increase consensus