Predicting the Robustness of Real-World Complex Networks

Predicting the Robustness of Real-World Complex Networks

Many real-world natural and social systems can be modeled as complex networks. As random failures and malicious attacks can seriously destroy the structure of complex networks, it is critical to ensure their robustness and maintain the functions. Generally, connectivity and controllability robustnes...

Full description

Bibliographic Details
Main Authors: Ruizi Wu, Jie Huang, Zhuoran Yu, Junli Li
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Complex network
convolutional neural network
robustness
prediction
Online Access:https://ieeexplore.ieee.org/document/9875263/

Similar Items

Similar Items