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Co-evolving networks for opinion and social dynamics in agent-based models.

Nataša Djurdjevac Conrad1, Nhu Quang Vu1,2, Sören Nagel1

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Digital social media drives opinion and social interaction coevolution. Our model shows how social ties and opinions dynamically influence each other, impacting collective outcomes and phenomena like echo chambers.

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Area of Science:

  • Computational Social Science
  • Network Science
  • Sociology

Background:

  • Digital social media amplifies the coevolution of public opinions and social interactions.
  • Existing research often models this as one-directional, from opinions to social ties.
  • This overlooks the reciprocal influence of social dynamics on opinion formation.

Purpose of the Study:

  • Introduce a model for co-evolving opinion and social dynamics.
  • Analyze the mechanisms behind emergent phenomena like echo chambers and consensus.
  • Apply the model to real-world data for validation.

Main Methods:

  • Stochastic agent-based modeling.
  • Agents' mobility influenced by social and opinion similarity.
  • Opinion formation driven by social vicinity.

Main Results:

  • The model captures the dynamic interplay between social connections and opinion evolution.
  • Analysis of social and opinion networks reveals key interaction mechanisms.
  • Successfully applied to General Social Survey data on political identity.

Conclusions:

  • Social interactions and opinions dynamically coevolve, influencing social structures.
  • The model provides a framework for understanding complex social phenomena.
  • Demonstrates the utility of agent-based models in social science research.