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

作者：

Highlights：

• The characteristics and components of GDM problems in LGSNE are analyzed.

• Opinion similarity and trust relationship are important for GDM events in LGSNE.

• A trust–similarity measure-based hierarchical clustering method is presented.

• A two-dimensional consensus convergence model is developed.

• A weight-determining method for clusters considering multiple factors is proposed.

摘要

•The characteristics and components of GDM problems in LGSNE are analyzed.•Opinion similarity and trust relationship are important for GDM events in LGSNE.•A trust–similarity measure-based hierarchical clustering method is presented.•A two-dimensional consensus convergence model is developed.•A weight-determining method for clusters considering multiple factors is proposed.

论文关键词：Large-group social network environment (LGSNE),Two-dimensional consensus convergence model,Hierarchical clustering method,Trust–similarity measure,Noncooperative behaviors,Group decision-making (GDM)

论文评审过程：Received 27 December 2019, Revised 31 January 2021, Accepted 2 February 2021, Available online 6 February 2021, Version of Record 11 February 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.106828