scholarly journals Damage spreading transition in an opinion dynamics model

2014 ◽  
Vol 413 ◽  
pp. 599-608 ◽  
Author(s):  
Abdul Khaleque ◽  
Parongama Sen
Keyword(s):  
Opinion Dynamics ◽  
Dynamics Model ◽  
Damage Spreading

Multi-state voter model on weighted social networks with committed agents

2014 ◽  
Vol 25 (07) ◽  
pp. 1450022 ◽  
Author(s):  
Saijun Chen ◽  
Haibo Hu ◽  
Jun Chen ◽  
Zhigao Chen
Keyword(s):  
Social Networks ◽  
Numerical Simulations ◽  
Opinion Dynamics ◽  
The Other ◽  
Voter Model ◽  
Scaling Exponent ◽  
Dynamics Model ◽  
Topological Structures ◽  
A Value ◽  
Dynamics Models

There exist scaling correlations between the edge weights and the nodes' degrees in weighted social networks. Based on the empirical findings, we study a multi-state voter model on weighted social networks where the weight is given by the product of agents' degrees raised to a power θ and there exist persistent individuals whose opinions are independent of those of their friends. We find that the fraction of each opinion will converge to a value which only relates to the degrees of initial committed agents and the scaling exponent θ. The analytical predictions are verified by numerical simulations. The model indicates that agents' degrees and scaling exponent can significantly influence the final coexistence or consensus state of opinions. We also study the influence of degree mixing characteristics on the dynamics model by numerical simulations and discuss the relation between the model and the other related opinion dynamics models on social networks with different topological structures and initial configurations.

scholarly journals Analysis of a nonlinear opinion dynamics model with biased assimilation

Automatica ◽  
2020 ◽  
Vol 120 ◽  
pp. 109113
Author(s):  
Weiguo Xia ◽  
Mengbin Ye ◽  
Ji Liu ◽  
Ming Cao ◽  
Xi-Ming Sun
Keyword(s):  
Opinion Dynamics ◽  
Dynamics Model ◽  
Biased Assimilation

A stochastic opinion dynamics model with multiple contents

2013 ◽  
Author(s):  
Julio Cesar Louzada Pinto ◽  
Tijani Chahed ◽  
Jeremie Jakubowicz
Keyword(s):  
Opinion Dynamics ◽  
Dynamics Model

OPINION DIFFUSION ON MULTILAYER SOCIAL NETWORKS

2017 ◽  
Vol 20 (06n07) ◽  
pp. 1750015 ◽  
Author(s):  
HAI-BO HU ◽  
CANG-HAI LI ◽  
QING-YING MIAO
Keyword(s):  
Social Networks ◽  
Opinion Dynamics ◽  
Coupling Agents ◽  
Dynamics Model ◽  
Multilayer Networks ◽  
Multilayer Network ◽  
Influence Matrix ◽  
Strongly Connected ◽  
Degroot Model ◽  
Multilayer Social Networks

In this paper, to reveal the influence of multilayer network structure on opinion diffusion in social networks, we study an opinion dynamics model based on DeGroot model on multilayer networks. We find that if the influence matrix integrating the information of connectedness for each layer and correlation between layers is strongly connected and aperiodic, all agents’ opinions will reach a consensus. However, if there are stubborn agents in the networks, regular agents’ opinions will finally be confined to the convex combinations of the stubborn agents’. Specifically, if all stubborn agents hold the same opinion, even if the agents only exist on a certain layer, their opinions will diffuse to the entire multilayer networks. This paper not only characterizes the influence of multilayer network topology and agent attribute on opinion diffusion in a holistic way, but also demonstrates the importance of coupling agents which play an indispensable role in some social and economic situations.

A two-step communication opinion dynamics model with self-persistence and influence index for social networks based on the DeGroot model

2020 ◽  
Vol 519 ◽  
pp. 363-381 ◽  
Author(s):  
Qinyue Zhou ◽  
Zhibin Wu ◽  
Abdulrahman H. Altalhi ◽  
Francisco Herrera
Keyword(s):  
Social Networks ◽  
Opinion Dynamics ◽  
Dynamics Model ◽  
Degroot Model

scholarly journals THE DARK SIDE OF GOSSIPS: HINTS FROM A SIMPLE OPINION DYNAMICS MODEL

2018 ◽  
Vol 21 (06n07) ◽  
pp. 1850021 ◽  
Author(s):  
GUILLAUME DEFFUANT ◽  
ILARIA BERTAZZI ◽  
SYLVIE HUET
Keyword(s):  
Simple Model ◽  
Opinion Dynamics ◽  
Relative Influence ◽  
Dark Side ◽  
Negative Bias ◽  
Positive Bias ◽  
Dynamics Model ◽  
Random Pair ◽  
Pair Interactions

We consider a simple model of agents modifying their opinion about themselves and about the others during random pair interactions. Two unexpected patterns emerge: (1) without gossips, starting from zero, agents’ opinions tend to grow and stabilize on average at a positive value; (2) when introducing gossips, this pattern is inverted; the opinions tend to decrease and stabilize on average at a negative value. We show that these patterns can be explained by the relative influence of a positive bias on self-opinions and of a negative bias on opinions about others. Without gossips, the positive bias on self-opinions dominates, leading to a positive average opinion. Gossips increase the negative bias about others, which can dominate the positive bias on self-opinions, leading to a negative average opinion.

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