In this paper, and inspired by the recent discrete-time model in Parsegov et al.(2017) and
Friedkin et al.(2016), we study two continuous-time opinion dynamics models (Model 1 and …

To reveal heterogeneous behaviors of opinion evolution in different scenarios, we propose
an opinion model with topic interactions. Individual opinions and topic features are …

For opinion dynamics in social networks with antagonisms, distributed processes lead to
challenging difficulties to characterize them, especially under changing network topologies …

This article investigates a two-timescale opinion dynamics model, named the concatenated
Friedkin–Johnsen (FJ) model, which describes the evolution of the opinions of a group of …

Unlike many complex networks studied in the literature, social networks rarely exhibit
regular cooperative behavior such as synchronization (referred usually as consensus or …

This article contributes in four ways to the research on time-discrete continuous opinion
dynamics with compromising agents. First, communication regimes are introduced as an …

Classic models on opinion dynamics usually focus on a group of agents forming their
opinions interactively over a single issue. Yet generally agreement cannot be achieved over …

To model the cross couplings of multiple topics, we develop a set of rules for opinion
updates of a group of agents. The rules are used to design or assign values to the elements …

Opinion dynamics concerns social processes through which populations or groups of
individuals agree or disagree on specific issues. As such, modelling opinion dynamics …

At the beginning of this century, Hegselmann and Krause proposed a dynamical model for
opinion formation that is referred to as the Bounded Confidence Opinion Dynamics (BCOD) …