Ordering-disordering dynamics of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>q</mml:mi> </mml:math> -voter model under random external bias

We investigate a variant of the two-state q-voter model in which agents update their states under a random external field (which points upward with probability s and downward with probability 1-s) with probability p or adopt the unanimous opinion of q randomly selected neighbors with probability 1-p. Using mean-field analysis and Monte Carlo simulations, we identify an order-disorder transition at p_{c} when s=1/2. Notably, in the regime of p>p_{c}, we estimate the time for systems to reach disordered state from consensus state and find the logarithmic scaling T_{dis}∼BlnN, with B=1/(2p) for q=1, while for q>1, B depends on both p>p_{c} and q. We observe that disordering dynamics slow down significantly for nonlinear strengths q between 2 and 3, independent of the probability p. However, when s=0 or s=1, the system is bound to reach consensus, with the consensus time scaling logarithmically with system size as T_{con}∼BlnN, where B=1/p for q=1 and B=1 for q>1. Furthermore, in the limit of p=0, we derive a closed-form exit probability valid for arbitrary values of q and demonstrate a finite-size scaling collapse. These results clarify how external cues and peer conformity jointly control ordering and disordering in binary opinion dynamics.

Authors

Institutions

Publication Details

Journal
Physical review. E
Published
2025-08-20
DOI
https://doi.org/10.1103/hcy5-pnwf
Citations
2
Primary Topic
Opinion Dynamics and Social Influence
Type
article
Field-Weighted Citation Impact
2.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ordering-disordering dynamics of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>q</mml:mi> </mml:math> -voter model under random external bias

Roni Muslim, Noriko Oikawa, Jihye Kim, Zulkaida Akbar et al.
2 citations
Physical review. E
Opinion Dynamics and Social Influence
2.65
article

Ordering-disordering dynamics of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>q</mml:mi> </mml:math> -voter model under random external bias

Roni Muslim, Noriko Oikawa, Jihye Kim, Zulkaida Akbar, Anugraha Rinto Nqz
article en
2 citations

Abstract

We investigate a variant of the two-state q-voter model in which agents update their states under a random external field (which points upward with probability s and downward with probability 1-s) with probability p or adopt the unanimous opinion of q randomly selected neighbors with probability 1-p. Using mean-field analysis and Monte Carlo simulations, we identify an order-disorder transition at p_{c} when s=1/2. Notably, in the regime of p>p_{c}, we estimate the time for systems to reach disordered state from consensus state and find the logarithmic scaling T_{dis}∼BlnN, with B=1/(2p) for q=1, while for q>1, B depends on both p>p_{c} and q. We observe that disordering dynamics slow down significantly for nonlinear strengths q between 2 and 3, independent of the probability p. However, when s=0 or s=1, the system is bound to reach consensus, with the consensus time scaling logarithmically with system size as T_{con}∼BlnN, where B=1/p for q=1 and B=1 for q>1. Furthermore, in the limit of p=0, we derive a closed-form exit probability valid for arbitrary values of q and demonstrate a finite-size scaling collapse. These results clarify how external cues and peer conformity jointly control ordering and disordering in binary opinion dynamics.

Physical review. EVol. 112(3)
Pohang University of Science and Technology (KR), Osaka Prefecture University (JP), Universitas Gadjah Mada (ID), Korea University (KR), Asia Pacific Center for Theoretical Physics (KR), Institut Teknologi Indonesia (ID), Korea University (JP), Quantum Technologies (Sweden) (SE), Osaka Metropolitan University (JP), Tokyo Metropolitan University (JP)
Openalex Percentile: Top 9%
Opinion Dynamics and Social Influence
2.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.