2016
DOI: 10.1142/s0129183116500601
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Noise and disorder: Phase transitions and universality in a model of opinion formation

Abstract: In this work we study a 3-state opinion formation model considering two distinct mechanisms, namely independence and conviction. Independence is introduced in the model as a noise, by means of a probability of occurrence q. On the other hand, conviction acts as a disorder in the system, and it is introduced by two discrete probability distributions. We analyze the effects of such two mechanisms on the phase transitions of the model, and we found that the critical exponents are universal over the order-disorder… Show more

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Cited by 8 publications
(5 citation statements)
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“…The model considered continuous opinions in the range [–1.0,1.0], but discrete opinions were also considered in [16]. Several extensions for discrete and continuous opinions were also studied, considering, for example, the impact of agents’ convictions [17], social temperature [18], inflexibility [19], non-conformist behaviours [20], dynamic individual influence [21], the presence of contrarian individuals [22], influencing ability of individuals [23,24], the relationship between coarsening and consensus [25], competition between noise and disorder [26], the analysis of noise-induced absorbing phase transitions [27] and the presence of distinct interaction rules [28]. The model was also considered in finite dimensional lattices [29] (including applications to the 2016 presidential election in USA [30]), in triangular, honeycomb, and Kagome lattices [31], in quasi-periodic lattices [32], in modular networks [33] and in other complex networks [34].…”
Section: Introductionmentioning
confidence: 99%
“…The model considered continuous opinions in the range [–1.0,1.0], but discrete opinions were also considered in [16]. Several extensions for discrete and continuous opinions were also studied, considering, for example, the impact of agents’ convictions [17], social temperature [18], inflexibility [19], non-conformist behaviours [20], dynamic individual influence [21], the presence of contrarian individuals [22], influencing ability of individuals [23,24], the relationship between coarsening and consensus [25], competition between noise and disorder [26], the analysis of noise-induced absorbing phase transitions [27] and the presence of distinct interaction rules [28]. The model was also considered in finite dimensional lattices [29] (including applications to the 2016 presidential election in USA [30]), in triangular, honeycomb, and Kagome lattices [31], in quasi-periodic lattices [32], in modular networks [33] and in other complex networks [34].…”
Section: Introductionmentioning
confidence: 99%
“…Independence appears in models of opinion dynamics under various forms and names, including noise [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ], inflexibility [ 9 , 10 , 11 ], zealots [ 12 , 13 , 14 , 15 ], non-social state [ 16 , 17 ], social temperature [ 18 , 19 ] or just independence [ 10 , 20 , 21 , 22 , 23 , 24 , 25 ]. Regardless of the specific form, it introduces into the system some kind of annealed or quenched disorder, which usually competes with the ordering, and simultaneously the most common form of social influence, namely conformity.…”
Section: Introductionmentioning
confidence: 99%
“…The salient features of the phase transition in the mean field/infinite range version for the model is already known, including the universality class. There have been a few studies [19][20][21][22][23][24][25][26] extending this model to further realistic situations, by introduction of additional parameters. Although the mean field behavior of the model has been well investigated, the knowledge of the critical behavior of the model in finite dimensions can only ascertain its universality class, which remains to be investigated.…”
Section: Introductionmentioning
confidence: 99%