Consensus reaching in social network group decision making: Research paradigms and challenges
By Yucheng Dong, Quanbo Zha, Hengjie Zhang, Gang Kou, Hamido Fujita, Francisco Chiclana, Enrique Herrera-Viedma. Knowledge-Based Systems, 2018
504 citations recorded by the source corpus.
Abstract In social network group decision making (SNGDM), the consensus reaching process (CRP) is used to help decision makers with social relationships reach consensus. Many CRP studies have been conducted in SNGDM until now. This paper provides a review of CRPs in SNGDM, and as a result it classifies them into two paradigms: (i) the CRP paradigm based on trust relationships, and (ii) the CRP paradigm based on opinion evolution. Furthermore, identified research challenges are put forward to advance this area of research.
Subfields: Information Systems, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/c0e42143d3ba6401a9805619d80b163f0a59cee8
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In Information Systems
In Statistical and Nonlinear Physics
Citations in the corpus
- A review on trust propagation and opinion dynamics in social networks and group decision making frameworks (2019, background): “A recent survey on social network based consensus approaches [11] points out that trust based GDM approaches are still in an early stage and they lack the necessary tools to calculate dynamically inter agents trust and influence.”
- Large-scale group decision making model based on social network analysis: Trust relationship-based conflict detection and elimination (2019, background): “Recent LSGDM literature has introduced approaches to studying how social relationships influence collective decision making processes [34, 35, 36].”