Constructions of air transportation super network and characteristics analysis

Traditional single-layer complex networks models show unsatisfactory practicality in modeling multi-functional, collaboratively operating aviation systems. This paper proposes a method for constructing a directed weighted super network model for aviation transport systems. Firstly, four functional sub-networks are constructed, including airline company sub-network, air route sub-network, airports-airline sub-network and the sector sub-network. On basis of the sub-networks, a super network model for aviation transport is introduced. Characteristics of the super network are then analyzed by using metrics such as functional-structural correlation coefficient, and node hyperdegree ratio. Results show that the super network structure is unstable, with low levels of association between most sub-networks, but stronger associations between air route-the Sector and air company networks-airports-airline. This work sets good bases for further vulnerability analysis of complex network.

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Published
2024-11-19
DOI
https://doi.org/10.1117/12.3052502
Primary Topic
Simulation and Modeling Applications
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article
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article

Constructions of air transportation super network and characteristics analysis

Songchen Han, Gang Sun, Jiayu Quan
Simulation and Modeling Applications
article

Constructions of air transportation super network and characteristics analysis

Songchen Han, Gang Sun, Jiayu Quan
article en

Abstract

Traditional single-layer complex networks models show unsatisfactory practicality in modeling multi-functional, collaboratively operating aviation systems. This paper proposes a method for constructing a directed weighted super network model for aviation transport systems. Firstly, four functional sub-networks are constructed, including airline company sub-network, air route sub-network, airports-airline sub-network and the sector sub-network. On basis of the sub-networks, a super network model for aviation transport is introduced. Characteristics of the super network are then analyzed by using metrics such as functional-structural correlation coefficient, and node hyperdegree ratio. Results show that the super network structure is unstable, with low levels of association between most sub-networks, but stronger associations between air route-the Sector and air company networks-airports-airline. This work sets good bases for further vulnerability analysis of complex network.

Sichuan University (CN)
Openalex Percentile: Top 76%
Simulation and Modeling Applications
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Constructions of air transportation super network and characteristics analysis — Songchen Han, Gang Sun, et al. · (2024) | TGRS Research Map | TGRS