Structural Robustness of Complex Networks: A Survey of A Posteriori Measures[Feature]
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 …
attacks, which has various meanings in different research contexts and here it refers to the …
Robustness of air transportation as complex networks: Systematic review of 15 years of research and outlook into the future
Air transportation systems are an important part of the critical infrastructure in our connected
world. Accordingly, a better understanding and improvements in the resilience of the overall …
world. Accordingly, a better understanding and improvements in the resilience of the overall …
Vulnerability of the worldwide air transportation network to global catastrophes such as COVID-19
This paper studies the vulnerability of the worldwide air transportation network (WATN)
during a global catastrophe such as COVID-19. Considering the WATN as a weighted …
during a global catastrophe such as COVID-19. Considering the WATN as a weighted …
A deep learning approach for flight delay prediction through time-evolving graphs
Flight delay prediction has recently gained growing popularity due to the significant role it
plays in efficient airline and airport operation. Most of the previous prediction works consider …
plays in efficient airline and airport operation. Most of the previous prediction works consider …
Efficiency and robustness of weighted air transport networks
This paper proposes a novel efficiency metric for weighted air transport networks (ATNs),
where the weight represents the connection strength between two airports concerning the …
where the weight represents the connection strength between two airports concerning the …
A learning convolutional neural network approach for network robustness prediction
Network robustness is critical for various societal and industrial networks against malicious
attacks. In particular, connectivity robustness and controllability robustness reflect how well a …
attacks. In particular, connectivity robustness and controllability robustness reflect how well a …
Classification-based prediction of network connectivity robustness
Today, there is an increasing concern about malicious attacks on various networks in society
and industry, against which the network robustness is critical. Network connectivity …
and industry, against which the network robustness is critical. Network connectivity …
Temporal attention aware dual-graph convolution network for air traffic flow prediction
Air traffic flow prediction is vital for its supporting function for collaborative decision making in
Air Traffic Management. However, due to the inherent spatial and temporal dependencies of …
Air Traffic Management. However, due to the inherent spatial and temporal dependencies of …
The impact of network topology on air transportation robustness to pandemics
The COVID-19 pandemic has brought a brand-new challenge to the design and
management of the air transportation network (ATN). Many countries have partially or …
management of the air transportation network (ATN). Many countries have partially or …
A Spatial-Temporal Approach for Multi-Airport Traffic Flow Prediction Through Causality Graphs
Accurate airport traffic flow estimation is crucial for the secure and orderly operation of the
aviation system. Recent advances in machine learning have achieved promising prediction …
aviation system. Recent advances in machine learning have achieved promising prediction …