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Higher-order social interactions, like group discussions, can create opposing opinions within communities. This opinion disparity is sensitive to community structure and size differences.

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Area of Science:

  • Sociophysics
  • Network Science
  • Computational Social Science

Background:

  • Opinion disparity, the division of social groups into opposing subgroups, is a common societal phenomenon.
  • Existing models often focus on pairwise interactions, homophily, and reinforcement mechanisms.

Purpose of the Study:

  • To investigate the role of higher-order interactions (simultaneous multi-agent interactions) in forming opinion disparity.
  • To introduce a novel model based on higher-order interactions within community structures.

Main Methods:

  • Extension of the planted partition model for uniform hypergraphs to represent community structure.
  • Application of the hypergraph Susceptible-Infected-Susceptible (SIS) model to study ideology spread via links and triangles.
  • Approximation of the contagion process using a mean-field model.

Main Results:

  • Strong community structures can lead to significant differences in average opinions between subgroups.
  • Opinion disparity is more sensitive to triangle (three-way) interactions than link (pairwise) interactions.
  • The existence and nature of opinion disparities are highly dependent on the relative sizes of the communities.

Conclusions:

  • Higher-order interactions, particularly triangles, play a crucial role in fostering opinion disparity within social networks.
  • Community structure and size are critical factors influencing the emergence and stability of opposing opinions.