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Updated: Dec 26, 2025

Setting Limits on Supersymmetry Using Simplified Models
07:46

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Published on: November 15, 2013

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Adaptive voter model on simplicial complexes.

Leonhard Horstmeyer1,2, Christian Kuehn1,3

  • 1Complexity Science Hub Vienna, Josefstädterstrasse 39, A-1090 Vienna, Austria.

Physical Review. E
|March 15, 2020
PubMed
Summary
This summary is machine-generated.

We introduce a peer-pressure rule into an adaptive voter model on simplicial complexes. Peer pressure accelerates opinion convergence and fragmentation but does not alter the transition point.

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Area of Science:

  • Complex Systems
  • Network Science
  • Social Dynamics

Background:

  • Collective decision-making is crucial in social, political, and economic systems.
  • The classical voter model is a foundational tool for studying opinion dynamics.
  • Adaptive voter models incorporate network evolution alongside opinion changes.

Purpose of the Study:

  • To introduce and investigate a novel simplicial adaptive voter model incorporating peer pressure.
  • To analyze the impact of peer pressure on opinion fragmentation and convergence dynamics.
  • To explore the hierarchical evolution of network structures in higher-order interactions.

Main Methods:

  • Development of a simplicial adaptive voter model on hypergraphs.
  • Inclusion of persuasion, edge rewiring, and a new peer-pressure rule (on 2-simplices).
  • Numerical simulations to study model dynamics and transitions.

Main Results:

  • Peer pressure accelerates transitions to both single-opinion and fragmented states.
  • The fragmentation transition point remains unchanged by the peer-pressure rule.
  • A multiscale hierarchy is observed, with 2-simplices depleting before edges.

Conclusions:

  • Peer pressure significantly influences the speed of opinion dynamics in adaptive networks.
  • The observed hierarchical evolution of simplices suggests broader applicability to dynamic network models on simplicial complexes.
  • This model provides new insights into complex collective decision-making processes.