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Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection
Published on: June 13, 2017
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Bypass rewiring and robustness of complex networks
Junsang Park1, Sang Geun Hahn1,2
1Graduate School of Information Security, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
Physical Review. E
|September 15, 2016
Summary
Bypass rewiring enhances network robustness against node removal. A greedy algorithm further improves resilience, particularly for complex systems like the Internet, against failures and attacks.
Area of Science:
- Network Science
- Complex Systems Analysis
- Cybersecurity
Background:
- Real-world networks face threats from node removal due to failures or attacks.
- Existing network structures can be vulnerable to targeted or random disruptions.
- Improving network resilience is crucial for maintaining functionality.
Purpose of the Study:
- Introduce and analyze the concept of bypass rewiring for network robustness.
- Investigate the effectiveness of random bypass rewiring.
- Propose and evaluate a greedy bypass rewiring algorithm.
Main Methods:
- Analytical investigation of random bypass rewiring.
- Numerical simulations to assess network robustness.
- Development and testing of a greedy bypass rewiring algorithm.
Main Results:
- Bypass rewiring significantly enhances network robustness against node removal.
- Random bypass rewiring on even degree networks lowers the percolation threshold to zero.
- The greedy bypass rewiring algorithm demonstrates superior performance over random methods in protecting Internet systems.
Conclusions:
- Bypass rewiring is an effective strategy for improving network resilience.
- The greedy algorithm offers a practical approach to enhance robustness in dynamic network environments.
- This research has implications for securing critical infrastructure like the Internet.
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