The past few decades have witnessed a prevalence of applying dynamical models to the
study of social networks. This paper reviews recent advances in the investigation of social …

We provide an overview of recent research on belief and opinion dynamics in social
networks. We discuss both Bayesian and non-Bayesian models of social learning and focus …

This book uses rigorous mathematical analysis to advance opinion dynamics models for
social networks in three major directions. First, a novel model is proposed to capture how a …

A fundamental question in modeling opinion dynamics is to know how can opinion be
formed and evolved in a social network? This is an thorny subject which has attracted a hulk …

The process by which new ideas, innovations, and behaviors spread through a large social
network can be thought of as a networked interaction game: Each agent obtains information …

Human interactions and opinion exchanges lead to social opinion dynamics, which is well
described by opinion formation models. In these models, a random parameter is usually …

Opinion dynamics on social networks have received considerable attentions in recent years.
Nevertheless, just a few works have theoretically analyzed the condition in which a certain …

Opinion dynamics is of paramount importance as it provides insights into the complex
dynamics of opinion propagation and social relationship adjustment. It is assumed in most of …

Investigation of social influence dynamics requires mathematical models that are “simple”
enough to admit rigorous analysis, and yet sufficiently “rich” to capture salient features of …

In this paper, we propose a new model for continuous time opinion dynamics on an evolving
network. As opposed to existing models, in which the network typically evolves by discretely …