85 citations · 456 across the 9 of their papers we have counts for
9 papers
Characterizing Regional Importance in Cities with Human Mobility Motifs in Metro Networks
Shuyang Shi, Ding Lyu, Lin Wang +2
Uncovering higher-order spatiotemporal dependencies within human mobility networks offers valuable insights into the analysis of urban structures. In most existing studies, human m…
SPP-CNN: An Efficient Framework for Network Robustness Prediction
Chengpei Wu, Yang Lou, Lin Wang +3
This paper addresses the robustness of a network to sustain its connectivity and controllability against malicious attacks. This kind of network robustness is typically measured by…
Structural Robustness of Complex Networks: A Survey of A Posteriori Measures
Yang Lou, Lin Wang, Guanrong Chen
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…
A Learning Convolutional Neural Network Approach for Network Robustness Prediction
Yang Lou, Ruizi Wu, Junli Li +3
Network robustness is critical for various societal and industrial networks again malicious attacks. In particular, connectivity robustness and controllability robustness reflect h…
A Framework of Hierarchical Attacks to Network Controllability
Yang Lou, Lin Wang, Guanrong Chen
Network controllability robustness reflects how well a networked dynamical system can maintain its controllability against destructive attacks. This paper investigates the network…
Knowledge-Based Prediction of Network Controllability Robustness
Yang Lou, Yaodong He, Lin Wang +2
Network controllability robustness reflects how well a networked system can maintain its controllability against destructive attacks. Its measure is quantified by a sequence of val…
Towards Optimal Robustness of Network Controllability: An Empirical Necessary Condition
Yang Lou, Lin Wang, Kim Fung Tsang +1
To better understand the correlation between network topological features and the robustness of network controllability in a general setting, this paper suggests a practical approa…
Predicting Network Controllability Robustness: A Convolutional Neural Network Approach
Yang Lou, Yaodong He, Lin Wang +1
Network controllability measures how well a networked system can be controlled to a target state, and its robustness reflects how well the system can maintain the controllability a…
Toward Stronger Robustness of Network Controllability: A Snapback Network Model
Yang Lou, Lin Wang, Guanrong Chen
A new complex network model, called q-snapback network, is introduced. Basic topological characteristics of the network, such as degree distribution, average path length, clusterin…