Percolation transitions in interdependent networks with reinforced dependency links.
Jie Li1, Ying Wang1, Jilong Zhong2
1Air Traffic Control and Navigation College, Air Force Engineering University, Xi'an 710038, China.
Reinforcing dependency links in interdependent networks prevents cascading failures. A minimum fraction of reinforced links is crucial for network stability, offering greater resilience than node reinforcement.
Area of Science:
- Network science
- Complex systems analysis
- Statistical physics
Background:
- Interdependent networks are vulnerable to cascading failures due to dependencies.
- Reinforcing network nodes can enhance robustness, but reinforcing dependency links is less explored.
Purpose of the Study:
- To investigate the impact of reinforcing dependency links on the resilience of interdependent networks.
- To determine the critical fraction of reinforced links needed to prevent abrupt transitions and cascading failures.
Main Methods:
- Development of a percolation model incorporating a fraction of reinforced dependency links.
- Analytical and numerical solutions for calculating the minimum fraction of reinforced links.
- Comparison of reinforcement efficiency between link-reinforced and node-reinforced methods.
Main Results:
- A minimum fraction of reinforced dependency links is identified as a boundary for phase transitions.
- An upper bound of 0.08801 for reinforced links in random networks was found, independent of average degree.
- The link-reinforcement method shows higher efficiency than node reinforcement, especially in scale-free networks.
Conclusions:
- Reinforcing dependency links is an effective strategy for enhancing network resilience.
- Network heterogeneity significantly influences reinforcement efficiency.
- Findings offer insights for designing robust interdependent networks.
More Related Videos
09:01A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
Published on: May 7, 2014
11:09RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
Published on: July 17, 2021
Related Concept Videos
Entropy Change in Reversible Processes
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
Theories of Dissolution: Diffusion Layer Model
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
Reversible and Irreversible Processes
Relationship Formation
Types of Coprecipitation
Sometimes, ions in a crystal lattice can undergo isomorphous replacement by inclusions of similar charge and size. For...
Woodward–Hoffmann Selection Rules and Microscopic Reversibility
