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Disaster propagation in interdependent networks with different link patterns.

Jing Li1, Zequan Li2, Hui Qi2

  • 1School of Energy and Mining Engineering, China University of Mining and Technology-Beijing, Beijing 100083, People's Republic of China.

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Summary
This summary is machine-generated.

This study models disaster propagation in interdependent networks, finding that increased failure probability damages more nodes. Interdependence reduces scale-free network robustness and links layers, while link patterns significantly impact disaster spread.

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Area of Science:

  • Network Science
  • Complex Systems
  • Disaster Science

Background:

  • Disaster propagation in complex, interdependent, and multilayered networks is a critical research area.
  • Understanding cascading failures in interconnected systems is essential for resilience.

Purpose of the Study:

  • To propose a model for disaster propagation in layer-dependent networks.
  • To investigate network robustness against cascading failures under varying conditions.
  • To analyze the impact of different link patterns on failure propagation.

Main Methods:

  • Modeling interdependent networks with two dynamic mechanisms.
  • Investigating Erdős-Rényi (ER)-ER, scale-free (sf)-ER, and sf-sf network patterns.
  • Analyzing random, assortative, and disassortative link patterns between networks.

Main Results:

  • Increased triggering probability leads to more damaged nodes in both layers.
  • Interdependence decreases the robustness of scale-free networks to random failures.
  • Link patterns significantly influence the scope of disaster propagation.

Conclusions:

  • Interdependence causes layers to exhibit similar failure characteristics, irrespective of topology.
  • Network topology and inter-layer link patterns are crucial factors in disaster propagation dynamics.