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Voter-like Dynamics with Conflicting Preferences on Modular Networks.

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Social biases and network structure influence opinions. Modular networks amplify polarization, while segregation impacts consensus, affecting opinion dynamics in agent-based models.

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agent-based modelsnetworksopinion dynamicssociophysics

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Area of Science:

  • Social dynamics
  • Network science
  • Opinion formation

Background:

  • Individual opinions are shaped by social coordination and personal biases.
  • Understanding the interplay between network topology and these factors is crucial for opinion dynamics.

Purpose of the Study:

  • To investigate an extended voter model incorporating two populations with opposing preferences.
  • To analyze the impact of modular network structures, modeling epistemic bubbles, on opinion consensus and polarization.

Main Methods:

  • Utilized approximate analytical methods and computer simulations.
  • Employed a modular graph structure with two communities reflecting bias assignments.
  • Compared mean-field approximation with pair approximation and validated on a real network.

Main Results:

  • The system can reach either a consensus or a polarized state, depending on network and bias strengths.
  • Modular structures generally increase polarization and its parameter range.
  • High bias strength differences lead to opinion imposition dependent on the segregated population's structure.

Conclusions:

  • Network modularity significantly influences opinion polarization and consensus.
  • Population segregation plays a key role in opinion dynamics when bias strengths differ significantly.
  • The study provides insights into opinion formation within structured social networks.