2019
DOI: 10.1088/1742-6596/1391/1/012042
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Reputation in Majority Rule Model leading to democratic states

Abstract: We study the Majority Rule (MR) model, a sociophysics model developed to describe how a group of agents with initial different opinions can reach consensus. At each instant of time, a group is selected at random and discuss among each other. After the discussion, all members of this discussion group follow the majority opinion. The number of agents in the discussion group is not fixed and it is selected each instant of time from a Gaussian distribution. The system dynamics stops when only one opinion survive. … Show more

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Cited by 2 publications
(2 citation statements)
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“…The models assume two or three opinions available in the society [21]. Among other discrete models of opinion formation, one should mention the majority rule [8,10,22,23], voter [24][25][26][27], and Sznajd [28][29][30][31][32] models. In these models, usually only binary opinions are considered, which naturally causes society polarisation.…”
Section: Introductionmentioning
confidence: 99%
“…The models assume two or three opinions available in the society [21]. Among other discrete models of opinion formation, one should mention the majority rule [8,10,22,23], voter [24][25][26][27], and Sznajd [28][29][30][31][32] models. In these models, usually only binary opinions are considered, which naturally causes society polarisation.…”
Section: Introductionmentioning
confidence: 99%
“…The latter are represented by Hegselmann-Krause model [23][24][25], Deffuant et al model [26][27][28][29][30] (in a one-dimensional opinion space), the Zaller-Deffuant model [31][32][33][34] (in a two-dimensional opinion space), compromise model [35][36][37] or others [38,39]. In the family of discrete models, a particular role is played by toy models dealing with binary opinions and simplified rules of opinion formation, with majority [40,41], voter [42][43][44], Sznajd [45][46][47][48][49], Galam [50,51] models, among others.…”
Section: Introductionmentioning
confidence: 99%