Journal
PHYSICAL REVIEW E
Volume 101, Issue 5, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevE.101.052131
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Funding
- Agencia Estatal de Investigacion (AEI, Spain) under Project PACSS [RTI2018-093732-B-C21/C22]
- Fondo Europeo de Desarrollo Regional (FEDER, European Union), under Project PACSS [RTI2018-093732-B-C21/C22]
- Maria de Maeztu Program for units of Excellence in Research and Development [MDM-2017-0711]
- Formacion de Profesorado Universitario program of Ministerio de Educacion, Cultura y Deportes (MECD, Spain) [FPU14/00554]
- Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)
- Fundacao de Amparo a Pesquisa do Estado do Rio de Janeiro (FAPERJ)
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In the standard q-voter model, a given agent can change its opinion only if there is a full consensus of the opposite opinion within a group of influence of size q. A more realistic extension is the threshold q voter, where a minimal agreement (at least 0 < q(0) <= q opposite opinions) is sufficient to flip the central agent's opinion, including also the possibility of independent (nonconformist) choices. Variants of this model including nonconformist behavior have been previously studied in fully connected networks (mean-field limit). Here we investigate its dynamics in random networks. Particularly, while in the mean-field case it is irrelevant whether repetitions in the influence group are allowed, we show that this is not the case in networks, and we study the impact of both cases, with or without repetition. Furthermore, the results of computer simulations are compared with the predictions of the pair approximation derived for uncorrelated networks of arbitrary degree distributions.
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