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Area of Science:

  • Social network analysis
  • Opinion dynamics
  • Collective decision-making

Background:

  • DeGroot dynamics model opinion formation under social influence.
  • Centralized groups often reach biased consensus.
  • Accurate consensus requires competent individuals in central positions.

Purpose of the Study:

  • Investigate social network rewiring as a self-organization mechanism for improving group decision-making.
  • Analyze the impact of rewiring scope on consensus accuracy and structural adaptability.
  • Shift focus from individual information to agent competence in collective decision-making.

Main Methods:

  • Simulated iterative consensus formation in groups with stable memberships.
  • Implemented social network rewiring (local and global) as a self-organization mechanism.
  • Modeled evolving environments with temporal shifts in individual competence.

Main Results:

  • Local rewiring concentrates influence among competent members, enhancing consensus accuracy but reducing adaptability.
  • Global rewiring preserves adaptability but significantly undermines consensus accuracy.
  • Rewiring scope critically influences the trade-off between accuracy and adaptability.

Conclusions:

  • Social network rewiring can empower competent individuals for better group decisions.
  • The scope of rewiring determines the balance between consensus accuracy and adaptability.
  • Acquiring and communicating information about agent competence is key for effective collective decision-making.