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Related Experiment Video

Updated: Feb 17, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
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Network effects on coordination in asymmetric games.

Joris Broere1, Vincent Buskens2, Jeroen Weesie2

  • 1Utrecht University, Department of Sociology/ICS, Utrecht, The Netherlands. j.j.broere@uu.nl.

Scientific Reports
|December 7, 2017
PubMed
Summary
This summary is machine-generated.

Network topology significantly impacts player behavior in asymmetric coordination games. Higher network clustering promotes self-organization within groups but leads to varied behavior between them.

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Area of Science:

  • Game Theory
  • Network Science
  • Computational Social Science

Background:

  • Network structure influences individual and collective behavior in strategic interactions.
  • Understanding emergent behavior in complex systems is crucial for various fields.

Purpose of the Study:

  • To investigate how network topology affects global and local behavior in iterated asymmetric coordination games.
  • To identify key network properties that predict emergent behavioral patterns.

Main Methods:

  • Utilized best response dynamics to simulate player strategies on different network structures.
  • Analyzed behavior across various network topologies, including random (Erdös-Rényi) and clustered networks.
  • Employed degree centrality to assess the influence of individual nodes on overall behavior.

Main Results:

  • Global behavior strongly depends on network topology; random networks tend toward homogeneity.
  • Increased network clustering leads to more heterogeneous global behavior and homogeneous behavior within communities.
  • Node degree centrality predicts behavior, with even-degree nodes often having an advantage.

Conclusions:

  • Network clustering facilitates self-organization of uniform behavior within communities but heterogeneity between them.
  • Predicting behavior in random networks is challenging; other networks exhibit behavior dictated by clustering and degree heterogeneity.
  • Local network structure, particularly node centrality, plays a significant role in determining equilibrium outcomes.