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Article . 2024 . Peer-reviewed
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https://doi.org/10.1103/physre...
Article . 2023 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY
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Partisan voter model: Stochastic description and noise-induced transitions

Authors: Jaume Llabrés; Maxi San Miguel; Raúl Toral;

Partisan voter model: Stochastic description and noise-induced transitions

Abstract

We give a comprehensive mean-field analysis of the Partisan Voter Model (PVM) and report analytical results for exit probabilities, fixation times, and the quasi-stationary distribution. In addition, and similarly to the noisy voter model, we introduce a noisy version of the PVM, named as the Noisy Partisan Voter Model (NPVM) which accounts for the preferences of each agent for the two possible states, as well as for idiosyncratic spontaneous changes of state. We find that the finite-size noise-induced transition of the noisy voter model is modified in the NPVM leading to the emergence of new intermediate phases and both continuous and discontinuous transitions.

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Spain
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Keywords

Physics - Physics and Society, Physics - Statistical Mechanics, Statistical Mechanics (cond-mat.stat-mech), FOS: Physical sciences, Physics and Society (physics.soc-ph), Condensed Matter - Statistical Mechanics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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