Structural Robustness of Complex Networks: A Survey of A Posteriori Measures[Feature]

Y Lou, L Wang, G Chen - IEEE Circuits and Systems Magazine, 2023 - ieeexplore.ieee.org
Network robustness is critical for various industrial and social networks against malicious
attacks, which has various meanings in different research contexts and here it refers to the …

Comprehensive analysis of network robustness evaluation based on convolutional neural networks with spatial pyramid pooling

W Jiang, T Fan, C Li, C Zhang, T Zhang, Z Luo - Chaos, Solitons & Fractals, 2024 - Elsevier
Connectivity robustness, crucial for network understanding, optimization, and repair, has
been evaluated traditionally through time-consuming and often impractical simulations …

A graph transformer-driven approach for network robustness learning

Y Zhang, J Li, J Ding, X Li - … on Circuits and Systems I: Regular …, 2024 - ieeexplore.ieee.org
Learning and analysis of network robustness, including controllability robustness and
connectivity robustness, is critical for various networked systems against attacks …

Improving node connectivity by optimized dual tree-based effective node consolidation

W Wei, Q Hu, Q Zhang - Reliability Engineering & System Safety, 2024 - Elsevier
As an effective way to defend against network failure, nodes or links in a network can be
protected to ensure connectivity. The consolidation of critical nodes is a necessary strategy …

Multi-objective optimization of T-shaped bilateral laser welding parameters based on NSGA-II and MOPSO

Y Tan, G Zhu, F Tian, Z Zhao, B Chai - Journal of Materials Science, 2024 - Springer
In the realm of welding production, optimizing parameters for enhanced quality and
efficiency remains a challenge. This study introduces a novel approach using ABAQUS for …

Large-scale robustness-oriented efficient edge addition through traversal tree-based weak edge identification

W Wei, G Sun, Q Zhang - Chaos, Solitons & Fractals, 2024 - Elsevier
To build robust networks, a popular way is to add edges to existing networks, which can help
defend against natural disasters or malicious attacks that randomly or intentionally break …

[HTML][HTML] Influence of Removing Leaf Node Neighbors on Network Controllability

C Wu, S Xu, Z Yu, J Li - Entropy, 2023 - mdpi.com
From the perspective of network attackers, finding attack sequences that can cause
significant damage to network controllability is an important task, which also helps defenders …

Network Robustness Learning via Graph Transformer

Y Zhang, J Li, J Ding, X Li - arXiv preprint arXiv:2306.06913, 2023 - arxiv.org
Learning and analysis of network robustness, including controllability robustness and
connectivity robustness, is critical for various networked systems against attacks …

[HTML][HTML] Multi-Objective Optimization of the Robustness of Complex Networks Based on the Mixture of Weighted Surrogates

J Nie, Z Yu, J Li - Axioms, 2023 - mdpi.com
Network robustness is of paramount importance. Although great progress has been
achieved in robustness optimization using single measures, such networks may still be …

Predicting Robustness Performance with Noises in Network Representation

C Wu, S Xu, J Li - … on Systems, Man, and Cybernetics (SMC), 2023 - ieeexplore.ieee.org
The connectivity and controllability of complex networks play an important role in ensuring
the proper functioning of network systems. Robustness of connectivity and controllability is …