GCRL: a graph neural network framework for network connectivity robustness learning

Y Zhang, H Chen, Q Chen, J Ding, X Li - New Journal of Physics, 2024 - iopscience.iop.org
The resilience and adaptability of complex networks is crucial in ensuring their functionality
against disruptions. Particularly, maintaining network connectivity under various attack …

Restoration Model for Cascading Overload Failure in Syncretic Railway Network

Q Zhong, S Liu, J Guo, L Zhong… - Journal of Advanced …, 2024 - Wiley Online Library
The different rail transit systems, such as regional railway and urban rail transit, cooperate to
form the syncretic railway network (SRN). With the rapid development of SRN, the limited …

Research on methods for improving robustness of cascading failures of interdependent networks

A Shen, J Guo, Z Wang - Wireless Personal Communications, 2017 - Springer
The issue about cascading failures of interdependent networks is a hot research field based
on the current complex network basic theories. This paper mainly researches methods for …

[HTML][HTML] Predicting Dependent Edges in Nonequilibrium Complex Systems Based on Overlapping Module Characteristics

Q Zou, L Yan, Y Gong, J Hou - Systems, 2024 - mdpi.com
Problem: Predicting dependency relationships in nonequilibrium systems is a critical
challenge in complex systems research. Solution proposed: In this paper, we propose a …

Node Importance Evaluation of Cyber‐Physical System under Cyber‐Attacks Spreading

XR Liu, Y Meng, P Chang - Complexity, 2021 - Wiley Online Library
The study of cyber‐attacks, and in particular the spread of attack on the power cyber‐
physical system, has recently attracted considerable attention. Identifying and evaluating the …

Structural Robustness and Vulnerability of Networks

AC Schwarze, J Jiang, J Wray, MA Porter - arXiv preprint arXiv …, 2024 - arxiv.org
Networks are useful descriptions of the structure of many complex systems. Unsurprisingly, it
is thus important to analyze the robustness of networks in many scientific disciplines. In …

Robustness of Random Networks with Selective Reinforcement against Attacks

T Kawasumi, T Hasegawa - arXiv preprint arXiv:2403.08535, 2024 - arxiv.org
We investigate the robustness of random networks reinforced by adding hidden edges
against targeted attacks. This study focuses on two types of reinforcement: uniform …

Allocating defense and recovery resources for spatial networks against cascading failures

Z Dong, M Tian - Complexity, 2022 - Wiley Online Library
This paper proposes the models of allocating defense and recovery resources for spatially
embedded networks, respectively, both of which consider the length of links as the allocation …

Dynamic robustness of semantic-based collaborative knowledge network of open source project

S Lei, X Zhang, S Xie, X Zheng - Entropy, 2021 - mdpi.com
Robustness of the collaborative knowledge network (CKN) is critical to the success of open
source projects. To study this robustness more comprehensively and accurately, we …

A security enhancement model based on switching edge strategy in interdependent heterogeneous cyber-physical systems

D Zhao, C Liu, G Xu, Z Ding, H Peng… - China …, 2022 - ieeexplore.ieee.org
With the advent of cross-domain interconnection, large-scale sensor network systems such
as smart grids, smart homes, and intelligent transportation have emerged. These complex …