The process of opinion formation and evolution is an important part of the study of opinion
dynamics. However, the existing opinion dynamics ignore the relationship between opinion …

The study of the dynamics of opinion formation and transmission in social networks has
attracted lots of attention. Here, we propose a model that simulates communication in an …

This paper is concerned with the almost sure exponential synchronization of a multilayer
network which is set up on a non-strongly connected digraph that can be classified into …

This paper considers a group decision-making mechanism for a group of social agents with
ambiguous interactions. First, a fuzzy inference approach is introduced to describe bounded …

In recent years, the successive lag synchronization (SLS) has been deeply analyzed,
however, the control theory of SLS on complex networks with noise perturbation is lacking …

In the bounded confidence framework, agents' opinions evolve as a result of interactions
with other agents having similar opinions. Thus, consensus or fragmentation of opinions can …

This article proposes a second-order communication network generation method based on
Delaunay triangulation for a large-scale population. Given the complexity of communication …

In current opinion dynamics models for predicting public opinion, the spread of events within
social media has been inadequately considered, resulting in suboptimal prediction …

Most previous works have studied the evolution of opinions based on the Hegselmann–
Krause model, the Deffuant–Weisbuch model, and the Sznajd model. However, the …

Cooperation in an open dynamic system fundamentally depends upon information
distributed across its components. Yet in an environment with rapidly evolving complexity …