Long route to consensus: Two-stage coarsening in a binary choice voting model

Sudip Mukherjee, Soumyajyoti Biswas, and Parongama Sen
Phys. Rev. E 102, 012316 – Published 28 July 2020

Abstract

Formation of consensus, in binary yes-no type of voting, is a well-defined process. However, even in presence of clear incentives, the dynamics involved can be incredibly complex. Specifically, formations of large groups of similarly opinionated individuals could create a condition of “support-bubbles” or spontaneous polarization that renders consensus virtually unattainable (e.g., the question of the UK exiting the EU). There have been earlier attempts in capturing the dynamics of consensus formation in societies through simple Z2-symmetric models hoping to capture the essential dynamics of average behavior of a large number of individuals in a statistical sense. However, in absence of external noise, they tend to reach a frozen state with fragmented and polarized states, i.e., two or more groups of similarly opinionated groups with frozen dynamics. Here we show in a kinetic exchange opinion model considered on L×L square lattices, that while such frozen states could be avoided, an exponentially slow approach to consensus is manifested. Specifically, the system could either reach consensus in a time that scales as L2 or a long-lived metastable state (termed a “domain-wall state”) for which formation of consensus takes a time scaling as L3.6. The latter behavior is comparable to some voterlike models with intermediate states studied previously. The late-time anomaly in the timescale is reflected in the persistence probability of the model. Finally, the interval of zero crossing of the average opinion, i.e., the time interval over which the average opinion does not change sign, is shown to follow a scale-free distribution, which is compared with that seen in the opinion surveys regarding Brexit and associated issues since the late 1970s. The issue of minority spreading is also addressed by calculating the exit probability.

  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Received 10 February 2020
  • Revised 18 May 2020
  • Accepted 7 July 2020

DOI:https://doi.org/10.1103/PhysRevE.102.012316

©2020 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & Thermodynamics

Authors & Affiliations

Sudip Mukherjee1,2,*, Soumyajyoti Biswas3,†, and Parongama Sen4,‡

  • 1Department of Physics, Barasat Government College, Barasat, Kolkata 700124, India
  • 2Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata 700064, India
  • 3Department of Physics, SRM University – AP, Andhra Pradesh 522502, India
  • 4Department of Physics, University of Calcutta, Kolkata 700009, India

  • *sudip.mukherjee@saha.ac.in
  • soumyajyoti.b@srmap.edu.in
  • psphy@calunic.ac.in

Article Text (Subscription Required)

Click to Expand

References (Subscription Required)

Click to Expand
Issue

Vol. 102, Iss. 1 — July 2020

Reuse & Permissions
Access Options
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review E

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×