Noise-based synchronization of bounded confidence opinion dynamics in heterogeneous time-varying communication networks

2020 ◽  
Vol 528 ◽  
pp. 219-230
Author(s):  
Wei Su ◽  
Xueqiao Wang ◽  
Ge Chen ◽  
Yongguang Yu ◽  
Tarik Hadzibeganovic
Keyword(s):  
Communication Networks ◽  
Opinion Dynamics ◽  
Time Varying ◽  
Bounded Confidence

scholarly journals A Survey on Nonstrategic Models of Opinion Dynamics

Games ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 65
Author(s):  
Michel Grabisch ◽  
Agnieszka Rusinowska
Keyword(s):  
Threshold Model ◽  
Opinion Dynamics ◽  
Time Varying ◽  
Binary Variable ◽  
Rule Model ◽  
Bounded Confidence ◽  
Degroot Model ◽  
Voter Models ◽  
Time Varying Models ◽  
Continuous Opinions

The paper presents a survey on selected models of opinion dynamics. Both discrete (more precisely, binary) opinion models as well as continuous opinion models are discussed. We focus on frameworks that assume non-Bayesian updating of opinions. In the survey, a special attention is paid to modeling nonconformity (in particular, anticonformity) behavior. For the case of opinions represented by a binary variable, we recall the threshold model, the voter and q-voter models, the majority rule model, and the aggregation framework. For the case of continuous opinions, we present the DeGroot model and some of its variations, time-varying models, and bounded confidence models.

scholarly journals Practical consensus in bounded confidence opinion dynamics

Automatica ◽  
2021 ◽  
Vol 129 ◽  
pp. 109683
Author(s):  
Francesco Vasca ◽  
Carmela Bernardo ◽  
Raffaele Iervolino
Keyword(s):  
Opinion Dynamics ◽  
Bounded Confidence

scholarly journals The Combination of Pairwise and Group Interactions Promotes Consensus in Opinion Dynamics

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xiaoxuan Liu ◽  
Changwei Huang ◽  
Haihong Li ◽  
Qionglin Dai ◽  
Junzhong Yang
Keyword(s):  
Complex Systems ◽  
Numerical Simulations ◽  
Complete Graph ◽  
Group Interaction ◽  
Opinion Dynamics ◽  
Pairwise Interaction ◽  
Network Structures ◽  
Opinion Formation ◽  
Group Interactions ◽  
Bounded Confidence

In complex systems, agents often interact with others in two distinct types of interactions, pairwise interaction and group interaction. The Deffuant–Weisbuch model adopting pairwise interaction and the Hegselmann–Krause model adopting group interaction are the two most widely studied opinion dynamics. In this study, we propose a novel opinion dynamics by combining pairwise and group interactions for agents and study the effects of the combination on consensus in the population. In the model, we introduce a parameter α to control the weights of the two interactions in the dynamics. Through numerical simulations, we find that there exists an optimal α , which can lead to a highest probability of complete consensus and minimum critical bounded confidence for the formation of consensus. Furthermore, we show the effects of α on opinion formation by presenting the observations for opinion clusters. Moreover, we check the robustness of the results on different network structures and find the promotion of opinion consensus by α not limited to a complete graph.

Pairwise Stochastic Bounded Confidence Opinion Dynamics: Heavy Tails and Stability

2017 ◽  
Vol 62 (11) ◽  
pp. 5678-5693 ◽  
Author(s):  
Francois Baccelli ◽  
Avhishek Chatterjee ◽  
Sriram Vishwanath
Keyword(s):  
Heavy Tails ◽  
Opinion Dynamics ◽  
Bounded Confidence

scholarly journals OPINION FORMATION MODELS BASED ON GAME THEORY

2007 ◽  
Vol 18 (09) ◽  
pp. 1377-1395 ◽  
Author(s):  
ALESSANDRO DI MARE ◽  
VITO LATORA
Keyword(s):  
Game Theory ◽  
Numerical Simulations ◽  
Opinion Dynamics ◽  
Strategic Game ◽  
Opinion Formation ◽  
Bounded Confidence ◽  
Formation Dynamics ◽  
Bounded Confidence Model

A way to simulate the basic interactions between two individuals with different opinions, in the context of strategic game theory, is proposed. Various games are considered, which produce different kinds of opinion formation dynamics. First, by assuming that all individuals (players) are equals, we obtain the bounded confidence model of continuous opinion dynamics proposed by Deffuant et al. In such a model a tolerance threshold is defined, such that individuals with difference in opinion larger than the threshold can not interact. Then, we consider that the individuals have different inclinations to change opinion and different abilities in convincing the others. In this way, we obtain the so-called "Stubborn individuals and Orators" (SO) model, a generalization of the Deffuant et al. model, in which the threshold tolerance is different for every couple of individuals. We explore, by numerical simulations, the dynamics of the SO model, and we propose further generalizations that can be implemented.

scholarly journals OPINION DYNAMICS DRIVEN BY LEADERS, MEDIA, VIRUSES AND WORMS

2007 ◽  
Vol 18 (05) ◽  
pp. 849-859 ◽  
Author(s):  
ÇAĞLAR TUNCAY
Keyword(s):  
Supply And Demand ◽  
Opinion Dynamics ◽  
Time Varying

A model on the effects of leader, media, viruses, worms, and other agents on the opinion of individuals is developed and utilized to simulate the formation of consensus in society and price in market via excess between supply and demand. The effects of some time varying drives (harmonic and hyperbolic) are also investigated.

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