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Related Experiment Video

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The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Controlling herding in minority game systems.

Ji-Qiang Zhang¹, Zi-Gang Huang^1,2, Zhi-Xi Wu¹

¹Institute of Computational Physics and Complex Systems, Lanzhou University, Lanzhou Gansu 730000, China.

Scientific Reports

|February 18, 2016

Summary

Controlling resource allocation dynamics in complex systems is crucial. A new pinning control method reveals an optimal fraction to minimize fluctuations and prevent harmful herding behavior.

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Area of Science:

Complex Systems Science
Network Science
Mathematical Modeling

Background:

Resource allocation dynamics in complex systems like urban traffic and ecosystems can be modeled using minority games.
Uncontrolled resource allocation often results in detrimental herding behavior, leading to inefficient resource utilization and system instability.
Developing effective control strategies to mitigate herding behavior is a significant challenge in complex systems research.

Purpose of the Study:

To develop a novel pinning control method to suppress herding behavior and reduce fluctuations in resource allocation dynamics.
To investigate the universal existence of an optimal pinning fraction for minimizing system variance.
To establish a general theoretical framework for controlling collective dynamics in complex systems.

Main Methods:

Modeling resource allocation dynamics as minority games within complex network topologies.
Developing a pinning control scheme by separating intrinsic and systematic fluctuation components.
Analyzing the impact of pinning fraction and network topology on system variance.

Main Results:

Demonstrated the universal existence of an optimal pinning fraction that minimizes system variance, irrespective of pinning patterns or network topology.
Developed a general theory explaining the emergence of optimal pinning and its dependence on network characteristics.
Showcased the effectiveness of the proposed pinning control method in mitigating herding behavior.

Conclusions:

The developed pinning control method offers a general framework for managing collective dynamics in diverse complex systems.
Optimal pinning control provides a robust strategy to enhance resource allocation efficiency and system stability.
Findings have potential applications in optimizing social, economic, and political systems.