Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Analysis of Statistical Characteristics of China's Aviation Full-Freight Network based on Complex Network Theory

Authors
Li Yang, Zhenzhen Zhou
Corresponding Author
Li Yang
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.2How to use a DOI?
Keywords
Complex network; aviation full-cargo network; structural characteristics.
Abstract
With the development of air freight, the emergence of specialized freight airports, the gradual increase of full-freight airlines. The full-freight network has a great influence on the development of air freight, so it is necessary to carry out a more comprehensive analysis of the air full-freight network. The complex network theory provides a good method. From the perspective of the research of complex network theory, this paper describes the topology structure of the full-freight network and understands its structural characteristics. The results show that: (1) China's civil aviation all-cargo network shows small world characteristics, degree distribution is fitted as exponential distribution. (2) There is no obvious community structure in the air cargo network. (3) The air full-freight network with Hangzhou, Shenzhen and Nanjing as the hubs.
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Proceedings
3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.2How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Li Yang
AU  - Zhenzhen Zhou
PY  - 2019/04
DA  - 2019/04
TI  - Analysis of Statistical Characteristics of China's Aviation Full-Freight Network based on Complex Network Theory
BT  - 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.2
DO  - https://doi.org/10.2991/icmeit-19.2019.2
ID  - Yang2019/04
ER  -