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Published on: October 13, 2023
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Network robustness of multiplex networks with interlayer degree correlations.
Byungjoon Min1, Su Do Yi2, Kyu-Min Lee1
1Department of Physics, Korea University, Seoul 136-713, Korea.
Summary
Network robustness is enhanced by correlated link types in multiplex networks, offering resilience against random failures. Anticorrelated networks resist targeted attacks but are vulnerable to random node removal.
Area of Science:
- Network Science
- Complex Systems
- Statistical Physics
Background:
- Multiplex networks feature multiple layers of distinct link types.
- Node degree correlations between layers significantly influence network properties.
- Understanding network robustness is crucial for infrastructure resilience.
Purpose of the Study:
- To investigate the robustness of multiplex networks considering inter-layer degree correlations.
- To analyze resilience against random and targeted node removals.
- To evaluate biconnectivity and mutual connectivity in correlated multiplex networks.
Main Methods:
- Utilizing generating function formalism for network analysis.
- Modeling different types of node removals (random and targeted).
- Examining maximally correlated and anticorrelated duplex networks.
Main Results:
- Correlated coupling diversely impacts multiplex network structural robustness.
- Maximally correlated networks exhibit high resilience to random failures due to multiple independent paths.
- Anticorrelated networks are robust to targeted attacks but susceptible to random failures.
Conclusions:
- Inter-layer degree correlations are critical determinants of multiplex network robustness.
- Network design can be optimized by leveraging correlation properties for specific resilience goals.
- Findings offer insights into the stability of real-world multilayered systems.
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