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 …

Opinion dynamics focuses on the opinion evolution in a social community. Recently, some
models of continuous opinion dynamics under bounded confidence were proposed by …

We study a class of discrete-time multi-agent systems modeling opinion dynamics with
decaying confidence. We consider a network of agents where each agent has an opinion. At …

Opinion dynamics (OD) models, which simulate individuals' opinion evolution process on
social network to analyze the final state of opinion distribution in a group, usually differ from …

Opinion dynamics is a kind of collective decision-making process and focuses on the study
of evolution and formation of opinions within a human society. Particularly, bounded …

Opinion dynamics investigates the fusion process of the opinion formation in a group of
agents, and is a powerful tool for supporting the management of public opinions. However …

In opinion dynamics with continuous opinion, bounded confidence is a critical parameter.
Agents can interact with each other only when the opinion difference between them is less …

Most existing opinion formation processes apply one opinion dynamics model. However,
this article combines opinion formation and complex networks to innovatively develop two …

Opinion dynamics is a fusion process of individual opinions, in which a group of interacting
agents continuously fuse their opinions on the same issue based on established fusion rules …

Current opinion formation models typically assume that two individuals (agents) will
communicate with each other only if the distance between their opinions is less than a …