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Published on: May 29, 2014
Robustness and fragility in coupled oscillator networks under targeted attacks
Tianyu Yuan1, Kazuyuki Aihara1,2, Gouhei Tanaka1,2
1Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan.
This study introduces a general formula to measure the robustness of coupled oscillator networks against failures. The new formula accurately predicts critical failure points for both random and targeted attacks, enhancing network resilience understanding.
Area of Science:
- Complex systems
- Network science
- Nonlinear dynamics
Background:
- Coupled oscillator networks are fundamental to many natural and engineered systems.
- Network robustness against node failures is crucial for system reliability.
- Existing measures of robustness are limited, particularly for targeted attacks.
Purpose of the Study:
- To derive a general analytical formula for the critical fraction of failed nodes in coupled oscillator networks.
- To extend the understanding of network robustness beyond random failures to include targeted attacks.
- To identify key factors influencing the robustness and fragility of oscillator networks.
Main Methods:
- Analytical derivation of the critical fraction for network failure.
- Consideration of targeted attacks based on node degrees.
- Extension of the theory to networks with heterogeneous edge weights and nonidentical oscillators.
- Validation of analytical results through numerical experiments.
Main Results:
- A general formula for the critical fraction of node failures was derived.
- The formula applies to both random failures and targeted attacks.
- Network robustness is shown to depend on oscillator properties and network topology.
- Key factors determining network fragility were identified.
Conclusions:
- The derived formula provides a unified measure of network robustness against various failure scenarios.
- Understanding the impact of targeted attacks is essential for designing resilient complex systems.
- This work offers insights into the fundamental principles governing the stability of coupled oscillator networks.
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