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Social polarization promoted by sparse higher-order interactions.

Hugo Pérez-Martínez1,2, Santiago Lamata-Otín1,2, Federico Malizia3

  • 1GOTHAM lab, Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, Zaragoza, Spain.

Communications Physics
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Summary
This summary is machine-generated.

Group interactions significantly impact social polarization. In sparse networks, they increase polarization by limiting exposure to diverse views, while in dense networks, they reduce it, depending on group size and structure.

Keywords:
Complex networksNonlinear phenomena

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Area of Science:

  • Social dynamics
  • Network science
  • Computational social science

Background:

  • Social polarization is a growing concern.
  • Existing models often overlook group dynamics in polarization.
  • The interplay between group interactions and homophily is not well understood.

Purpose of the Study:

  • To introduce a higher-order framework for analyzing social polarization.
  • To investigate the role of group interactions and homophily in social polarization.
  • To explore how network structure influences polarization dynamics.

Main Methods:

  • Development of a higher-order framework incorporating group interactions and homophily.
  • Agent-based modeling to simulate social polarization.
  • Analysis of polarization under varying network densities and group sizes.

Main Results:

  • Group interactions can enhance social polarization in sparse networks by restricting exposure to diverse opinions.
  • Conversely, group interactions can suppress polarization in fully connected networks.
  • The impact of group interactions on polarization is modulated by group size, network connectivity, and interaction structure.

Conclusions:

  • Social polarization is sensitive to the structure of group interactions, not just individual preferences (homophily).
  • Network topology and group dynamics are critical factors in determining polarization outcomes.
  • Understanding group-based interactions is essential for mitigating or managing social polarization.