Identification and Prediction of Disruptions in Airline Networks

2021 ◽  
Author(s):  
Max Li ◽  
Karthik Gopalakrishnan ◽  
Xiyitao Zhu ◽  
Aritro Nandi ◽  
Hamsa Balakrishnan ◽  
...  
Keyword(s):  
Airline Networks

Connectivity and Competition in Airline Networks: A Complexity Analysis of Lufthansa's Network

2011 ◽  
Author(s):  
Aura Reggiani ◽  
Peter Nijkamp ◽  
Alessandro Cento
Keyword(s):  
Complexity Analysis ◽  
Airline Networks

Models of network formation

2018 ◽  
Author(s):  
Mark Newman
Keyword(s):  
Degree Distribution ◽  
Network Formation ◽  
Preferential Attachment ◽  
Network Size ◽  
Large Network ◽  
Citation Networks ◽  
Airline Networks ◽  
Attachment Model ◽  
Delivery Networks

This chapter describes models of the growth or formation of networks, with a particular focus on preferential attachment models. It starts with a discussion of the classic preferential attachment model for citation networks introduced by Price, including a complete derivation of the degree distribution in the limit of large network size. Subsequent sections introduce the Barabasi-Albert model and various generalized preferential attachment models, including models with addition or removal of extra nodes or edges and models with nonlinear preferential attachment. Also discussed are node copying models and models in which networks are formed by optimization processes, such as delivery networks or airline networks.

scholarly journals Study on Structural Characteristics of China’s Passenger Airline Network Based on Network Motifs Analysis

2019 ◽  
Vol 11 (9) ◽  
pp. 2484 ◽  
Author(s):  
Ying Jin ◽  
Ye Wei ◽  
Chunliang Xiu ◽  
Wei Song ◽  
Kaixian Yang
Keyword(s):  
Airline Industry ◽  
Structural Characteristics ◽  
Building Blocks ◽  
Development Stage ◽  
Network Motifs ◽  
Characteristic Analysis ◽  
Airline Networks ◽  
Airline Network ◽  
Industry Sustainability ◽  
Advanced Development

The air passenger transport network system is an important agent of social and economic connections between cities. Studying on the airline network structure and providing optimization strategies can improve the airline industry sustainability evolution. As basic building blocks of broad networks, the concept of network motifs is cited in this paper to apply to the structural characteristic analysis of the passenger airline network. The ENUMERATE SUBGRAPHS (G, k) algorithm is used to identify the motifs and anti-motifs of the passenger airline network in China. A total of 37 airline companies are subjected to motif identification and exploring the structural and functional characteristics of the airline networks corresponding to different motifs. These 37 airline companies are classified according to the motif concentration curves into three development stages, which include mono-centric divergence companies at the low-level development stage, transitional companies at the intermediate development stage, and multi-centric and hierarchical companies at the advanced development stage. Finally, we found that adjusting the number of proper network motifs is useful to optimize the overall structure of airline networks, which is profitable for air transport sustainable development.

Airline emissions charges and airline networks

2021 ◽  
Vol 92 ◽  
pp. 102028 ◽  
Author(s):  
Weijun Liao ◽  
Chunan Wang
Keyword(s):  
Airline Networks

Competition in airline networks

1993 ◽  
Vol 42 (2-3) ◽  
pp. 253-259 ◽  
Author(s):  
Anming Zhang ◽  
Xin Wei
Keyword(s):  
Airline Networks

The spatial configuration of airline networks in Europe

2003 ◽  
Vol 9 (5) ◽  
pp. 309-323 ◽  
Author(s):  
Guillaume Burghouwt ◽  
Jacco Hakfoort ◽  
Jan Ritsema van Eck
Keyword(s):  
Spatial Configuration ◽  
Airline Networks

scholarly journals Competition and mergers in airline networks

1991 ◽  
Vol 9 (3) ◽  
pp. 323-342 ◽  
Author(s):  
Jan K. Brueckner ◽  
Pablo T. Spiller
Keyword(s):  
Airline Networks

scholarly journals Airline Networks, Mergers, and Consumer Welfare

2013 ◽  
Author(s):  
Kai Hüschelrath ◽  
Kathrin Mueller
Keyword(s):  
Consumer Welfare ◽  
Airline Networks

Connectivity and Competition in Airline Networks

2009 ◽  
pp. 141-163 ◽  
Author(s):  
Aura Reggiani ◽  
Peter Nijkamp ◽  
Alessandro Cento
Keyword(s):  
Airline Networks
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