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Related Experiment Video

Updated: Feb 4, 2026

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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Post-disaster resource redistribution and cooperation evolution based on two-layer network evolutionary games.

Yu Chen1,2, Genjiu Xu1,3, Sinan Feng1,2

  • 1School of Mathematics and Statistics, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China.

Chaos (Woodbury, N.Y.)
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Summary
This summary is machine-generated.

Effective post-disaster recovery requires understanding shelter-victim cooperation. This study models this interaction, finding moderate incentives boost cooperation, while targeted punishment and calibrated sanctions are key for resilience.

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Area of Science:

  • Complex systems science
  • Disaster management
  • Game theory

Background:

  • Post-disaster recovery faces resource scarcity and infrastructure failure.
  • Effective coordination between shelters and victims is vital for community resilience.
  • The dynamics of two-layer behavioral feedback in disaster networks are not well understood.

Purpose of the Study:

  • To develop a two-layer network model for shelter-victim interactions.
  • To analyze the impact of incentives and punishments on cooperation.
  • To assess strategies for enhancing post-disaster coordination.

Main Methods:

  • Developed a two-layer network model coupling resource redistribution (public goods game) and victim interactions (evolutionary game).
  • Employed Monte Carlo simulations on scale-free networks.
  • Validated the model using real-world shelter data from Beijing.

Main Results:

  • Moderate incentives (public goods enhancement, subsidies) promote cooperation; excessive incentives lead to free-riding.
  • Credible punishment effectively reduces defection.
  • Targeted punishment of central shelters improves cooperation under resource constraints.

Conclusions:

  • Calibrated incentives and enforceable sanctions are crucial for fostering cooperation in disaster recovery.
  • Structural targeting of key entities can enhance network resilience.
  • The model provides practical insights for improving post-disaster coordination strategies.