Kinetic Continuous Opinion Dynamics Model on Two Types of Archimedean Lattices

Lima, F. W. S.

doi:10.3389/fphy.2017.00047

Cited by 6 publications

(5 citation statements)

References 22 publications

(40 reference statements)

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“…[42][43][44][45]) or the continuous space of opinions (see for example Refs. [13,[46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62]).…”

Section: Introductionmentioning

confidence: 99%

Noise induced unanimity and disorder in opinion formation

Kowalska-Styczeń

Malarz

2020

PLoS ONE

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We propose an opinion dynamics model based on Latané 's social impact theory. Actors in this model are heterogeneous and, in addition to opinions, are characterised by their varying levels of persuasion and support. The model is tested for two and three initial opinions randomly distributed among actors. We examine how the noise (randomness of behaviour) and the flow of information among actors affect the formation and spread of opinions. Our main research involves the process of opinion formation and finding phases of the system in terms of parameters describing noise and flow of the information for two and three opinions available in the system. The results show that opinion formation and spread are influenced by both (i) flow of information among actors (effective range of interactions among actors) and (ii) noise (randomness in adopting opinions). The noise not only leads to opinions disorder but also it promotes consensus under certain conditions. In disordered phase and when the exchange of information is spatially effectively limited, various faces of disorder are observed, including system states, where the signatures of self-organised criticality manifest themselves as scale-free probability distribution function of cluster sizes. Then increase of noise level leads system to disordered random state. The critical noise level above which histograms of opinion clusters' sizes loose their scale-free character increases with increase of the easy of information flow.

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“…[42][43][44][45]) or the continuous space of opinions (see for example Refs. [13,[46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62]).…”

Section: Introductionmentioning

confidence: 99%

Noise induced unanimity and disorder in opinion formation

Kowalska-Styczeń

Malarz

2020

PLoS ONE

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“…In Ref. [45], the BChS model was studied on quasi-periodic lattices (see also Refs.- [46,47]). The authors considered Penrose, and Ammann-Beenker lattices.…”

Section: Figurementioning

confidence: 99%

Social dynamics through kinetic exchange: the BChS model

Biswas

Chatterjee²,

Sen

et al. 2023

Front. Phys.

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This review presents an overview of the current research in kinetic exchange models for opinion formation in a society. The review begins with a brief introduction to previous models and subsequently provides an in-depth discussion of the progress achieved in the Biswas-Chatterjee-Sen model proposed in 2012, also known as the BChS model in some later research publications. The unique feature of the model is its inclusion of negative interaction between agents. The review covers various topics, including phase transitions between different opinion states, critical behavior dependent on various parameters, and applications in realistic scenarios such as the United States presidential election and Brexit.

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“…As mentioned before, the minority-win phenomenon is a result of a local majority rule. Majority rules are used in various contexts in modeling socio-economic phenomena, [48][49][50][51] for example the majority voter model, models of tax evasions 52 (as discussed in Sec. 4), etc.…”

Section: Equilibrium and Nonequilibrium Opinion Dynamic Modelsmentioning

confidence: 99%

Are Socio-Econo-Physical Models Better to Explain Biases in Societies?

Biswas

Lima²,

Flomenbom³

2018

Rep. Adv. Phys. Sci.

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In this work, we review various dynamical models in socio-econo-physics, and discuss their roles in understanding socio-economic biases. We deal with fairness in nations, wealth distributions in nations, elections’ dynamics and tax evasion models. We claim that these models can better explain biases in societies than traditional models of economics from 1700s that are based on various assumptions such as the “invisible hand concept” that justifies interventions from social beneficiaries.

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Kinetic Continuous Opinion Dynamics Model on Two Types of Archimedean Lattices

Cited by 6 publications

References 22 publications

Noise induced unanimity and disorder in opinion formation

Noise induced unanimity and disorder in opinion formation

Social dynamics through kinetic exchange: the BChS model

Are Socio-Econo-Physical Models Better to Explain Biases in Societies?

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