Literature DB >> 20866551

Heterogeneous voter models.

Naoki Masuda1, N Gibert, S Redner.   

Abstract

We introduce the heterogeneous voter model (HVM), in which each agent has its own intrinsic rate to change state, reflective of the heterogeneity of real people, and the partisan voter model (PVM), in which each agent has an innate and fixed preference for one of two possible opinion states. For the HVM, the time until consensus is reached is much longer than in the classic voter model. For the PVM in the mean-field limit, a population evolves to a preference-based state, where each agent tends to be aligned with its internal preference. For finite populations, discrete fluctuations ultimately lead to consensus being reached in a time that scales exponentially with population size.

Entities:  

Year:  2010        PMID: 20866551     DOI: 10.1103/PhysRevE.82.010103

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  15 in total

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Review 3.  The structure and dynamics of multilayer networks.

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4.  Freezing period strongly impacts the emergence of a global consensus in the voter model.

Authors:  Zhen Wang; Yi Liu; Lin Wang; Yan Zhang; Zhen Wang
Journal:  Sci Rep       Date:  2014-01-08       Impact factor: 4.379

5.  Emergence of disassortative mixing from pruning nodes in growing scale-free networks.

Authors:  Sheng-Jun Wang; Zhen Wang; Tao Jin; Stefano Boccaletti
Journal:  Sci Rep       Date:  2014-12-18       Impact factor: 4.379

6.  Convergence to consensus in heterogeneous groups and the emergence of informal leadership.

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Journal:  Sci Rep       Date:  2016-07-14       Impact factor: 4.379

7.  Collective Dynamics of Belief Evolution under Cognitive Coherence and Social Conformity.

Authors:  Nathaniel Rodriguez; Johan Bollen; Yong-Yeol Ahn
Journal:  PLoS One       Date:  2016-11-03       Impact factor: 3.240

8.  The effect of spatial randomness on the average fixation time of mutants.

Authors:  Suzan Farhang-Sardroodi; Amir H Darooneh; Moladad Nikbakht; Natalia L Komarova; Mohammad Kohandel
Journal:  PLoS Comput Biol       Date:  2017-11-27       Impact factor: 4.475

9.  On the effect of heterogeneity in stochastic interacting-particle systems.

Authors:  Luis F Lafuerza; Raul Toral
Journal:  Sci Rep       Date:  2013-02-01       Impact factor: 4.379

10.  Modeling Invasion Dynamics with Spatial Random-Fitness Due to Micro-Environment.

Authors:  V S K Manem; K Kaveh; M Kohandel; S Sivaloganathan
Journal:  PLoS One       Date:  2015-10-28       Impact factor: 3.240

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