Interacting social processes on interconnected networks

We propose and study a model for the interplay between two different dynamical processes -one for opinion formation and the other for decision making- on two interconnected networks A and B. The opinion dynamics on network A corresponds to that of the M-model, where the state of each agent can take...

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Autores principales: Alvarez Zuzek, Lucila G., La Rocca, Cristian E., Vazquez, Federico, Braunstein, Lidia A.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2016
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/85807
Aporte de:
id I19-R120-10915-85807
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Exactas
interconnected networks
spellingShingle Ciencias Exactas
interconnected networks
Alvarez Zuzek, Lucila G.
La Rocca, Cristian E.
Vazquez, Federico
Braunstein, Lidia A.
Interacting social processes on interconnected networks
topic_facet Ciencias Exactas
interconnected networks
description We propose and study a model for the interplay between two different dynamical processes -one for opinion formation and the other for decision making- on two interconnected networks A and B. The opinion dynamics on network A corresponds to that of the M-model, where the state of each agent can take one of four possible values (S = -2,-1, 1, 2), describing its level of agreement on a given issue. The likelihood to become an extremist (S = ±2) or a moderate (S = ±1) is controlled by a reinforcement parameter r ≥ 0. The decision making dynamics on network B is akin to that of the Abrams-Strogatz model, where agents can be either in favor (S = +1) or against (S = -1) the issue. The probability that an agent changes its state is proportional to the fraction of neighbors that hold the opposite state raised to a power β. Starting from a polarized case scenario in which all agents of network A hold positive orientations while all agents of network B have a negative orientation, we explore the conditions under which one of the dynamics prevails over the other, imposing its initial orientation. We find that, for a given value of β, the two-network system reaches a consensus in the positive state (initial state of network A) when the reinforcement overcomes a crossover value r<SUP>∗</SUP>(β), while a negative consensus happens for r < r<SUP>∗</SUP>(β). In the r - β phase space, the system displays a transition at a critical threshold β<SUB>c</SUB>, from a coexistence of both orientations for β < β<SUB>c</SUB> to a dominance of one orientation for β > β<SUB>c</SUB>. We develop an analytical mean-field approach that gives an insight into these regimes and shows that both dynamics are equivalent along the crossover line (r<SUP>∗</SUP>, β<SUP>∗</SUP>).
format Articulo
Articulo
author Alvarez Zuzek, Lucila G.
La Rocca, Cristian E.
Vazquez, Federico
Braunstein, Lidia A.
author_facet Alvarez Zuzek, Lucila G.
La Rocca, Cristian E.
Vazquez, Federico
Braunstein, Lidia A.
author_sort Alvarez Zuzek, Lucila G.
title Interacting social processes on interconnected networks
title_short Interacting social processes on interconnected networks
title_full Interacting social processes on interconnected networks
title_fullStr Interacting social processes on interconnected networks
title_full_unstemmed Interacting social processes on interconnected networks
title_sort interacting social processes on interconnected networks
publishDate 2016
url http://sedici.unlp.edu.ar/handle/10915/85807
work_keys_str_mv AT alvarezzuzeklucilag interactingsocialprocessesoninterconnectednetworks
AT laroccacristiane interactingsocialprocessesoninterconnectednetworks
AT vazquezfederico interactingsocialprocessesoninterconnectednetworks
AT braunsteinlidiaa interactingsocialprocessesoninterconnectednetworks
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