Kinetic Models of Discrete Opinion Dynamics on Directed Barabási–Albert Networks

Kinetic models of discrete opinion dynamics are studied on <i>directed</i> Barab&#225;si&#8722;Albert networks by using extensive Monte Carlo simulations. A continuous phase transition has been found in this system. The critical values of the noise parameter are obtained for seve...

Full description

Bibliographic Details
Main Authors: F. Welington S. Lima, J. A. Plascak
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/21/10/942
_version_ 1798002338948972544
author F. Welington S. Lima
J. A. Plascak
author_facet F. Welington S. Lima
J. A. Plascak
author_sort F. Welington S. Lima
collection DOAJ
description Kinetic models of discrete opinion dynamics are studied on <i>directed</i> Barab&#225;si&#8722;Albert networks by using extensive Monte Carlo simulations. A continuous phase transition has been found in this system. The critical values of the noise parameter are obtained for several values of the connectivity of these directed networks. In addition, the ratio of the critical exponents of the order parameter and the corresponding susceptibility to the correlation length have also been computed. It is noticed that the kinetic model and the majority-vote model on these <i>directed</i> Barab&#225;si&#8722;Albert networks are in the same universality class.
first_indexed 2024-04-11T11:51:37Z
format Article
id doaj.art-133d9ae80cb74579b3ff0a052f92c180
institution Directory Open Access Journal
issn 1099-4300
language English
last_indexed 2024-04-11T11:51:37Z
publishDate 2019-09-01
publisher MDPI AG
record_format Article
series Entropy
spelling doaj.art-133d9ae80cb74579b3ff0a052f92c1802022-12-22T04:25:19ZengMDPI AGEntropy1099-43002019-09-01211094210.3390/e21100942e21100942Kinetic Models of Discrete Opinion Dynamics on Directed Barabási–Albert NetworksF. Welington S. Lima0J. A. Plascak1Dietrich Stauffer Computational Physics Lab, Departamento de Física, Universidade Federal do Piauí, 64049-550 Teresina, PI, BrazilDepartamento de Física, Universidade Federal de Minas Gerais, C. P. 702, 30123-970 Belo Horizonte, MG, BrazilKinetic models of discrete opinion dynamics are studied on <i>directed</i> Barab&#225;si&#8722;Albert networks by using extensive Monte Carlo simulations. A continuous phase transition has been found in this system. The critical values of the noise parameter are obtained for several values of the connectivity of these directed networks. In addition, the ratio of the critical exponents of the order parameter and the corresponding susceptibility to the correlation length have also been computed. It is noticed that the kinetic model and the majority-vote model on these <i>directed</i> Barab&#225;si&#8722;Albert networks are in the same universality class.https://www.mdpi.com/1099-4300/21/10/942non-equilibriumphase transitionmonte carlo simulationsbarabási–albert networks
spellingShingle F. Welington S. Lima
J. A. Plascak
Kinetic Models of Discrete Opinion Dynamics on Directed Barabási–Albert Networks
Entropy
non-equilibrium
phase transition
monte carlo simulations
barabási–albert networks
title Kinetic Models of Discrete Opinion Dynamics on Directed Barabási–Albert Networks
title_full Kinetic Models of Discrete Opinion Dynamics on Directed Barabási–Albert Networks
title_fullStr Kinetic Models of Discrete Opinion Dynamics on Directed Barabási–Albert Networks
title_full_unstemmed Kinetic Models of Discrete Opinion Dynamics on Directed Barabási–Albert Networks
title_short Kinetic Models of Discrete Opinion Dynamics on Directed Barabási–Albert Networks
title_sort kinetic models of discrete opinion dynamics on directed barabasi albert networks
topic non-equilibrium
phase transition
monte carlo simulations
barabási–albert networks
url https://www.mdpi.com/1099-4300/21/10/942
work_keys_str_mv AT fwelingtonslima kineticmodelsofdiscreteopiniondynamicsondirectedbarabasialbertnetworks
AT japlascak kineticmodelsofdiscreteopiniondynamicsondirectedbarabasialbertnetworks