The influence of communication structure on opinion dynamics in social networks with multiple true states

2021 ◽  
Vol 406 ◽  
pp. 126262
Author(s):  
Aili Fang
Keyword(s):  
Social Networks ◽  
Opinion Dynamics ◽  
Communication Structure

PHYSICS OF THE MIND: OPINION DYNAMICS AND DECISION MAKING PROCESSES BASED ON A BINARY NETWORK MODEL

2008 ◽  
Vol 22 (25n26) ◽  
pp. 4482-4494 ◽  
Author(s):  
F. V. KUSMARTSEV ◽  
KARL E. KÜRTEN
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Chaotic Behavior ◽  
Opinion Dynamics ◽  
Human Mind ◽  
Critical Parameters ◽  
Opinion Formation ◽  
Natural Catastrophes ◽  
Risk Condition ◽  
Binary Network

We propose a new theory of the human mind. The formation of human mind is considered as a collective process of the mutual interaction of people via exchange of opinions and formation of collective decisions. We investigate the associated dynamical processes of the decision making when people are put in different conditions including risk situations in natural catastrophes when the decision must be made very fast or at national elections. We also investigate conditions at which the fast formation of opinion is arising as a result of open discussions or public vote. Under a risk condition the system is very close to chaos and therefore the opinion formation is related to the order disorder transition. We study dramatic changes which may happen with societies which in physical terms may be considered as phase transitions from ordered to chaotic behavior. Our results are applicable to changes which are arising in various social networks as well as in opinion formation arising as a result of open discussions. One focus of this study is the determination of critical parameters, which influence a formation of stable mind, public opinion and where the society is placed “at the edge of chaos”. We show that social networks have both, the necessary stability and the potential for evolutionary improvements or self-destruction. We also show that the time needed for a discussion to take a proper decision depends crucially on the nature of the interactions between the entities as well as on the topology of the social networks.

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 Opinion Dynamics in Social Networks through Mean-Field Games

2016 ◽  
Vol 54 (6) ◽  
pp. 3225-3257 ◽  
Author(s):  
D. Bauso ◽  
H. Tembine ◽  
T. Başar
Keyword(s):  
Social Networks ◽  
Mean Field ◽  
Opinion Dynamics ◽  
Mean Field Games

scholarly journals A two phase investment game for competitive opinion dynamics in social networks

2020 ◽  
Vol 57 (2) ◽  
pp. 102064 ◽  
Author(s):  
Swapnil Dhamal ◽  
Walid Ben-Ameur ◽  
Tijani Chahed ◽  
Eitan Altman
Keyword(s):  
Social Networks ◽  
Opinion Dynamics ◽  
Two Phase ◽  
Investment Game

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.

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