 |
[email protected] |
 |
3275638434 |
 |
 |
| Paper Publishing WeChat |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Cheng Xiangjun1, Zhang Chunyue2 and Zhang Xiaoxuan3
Full-Text PDF
XML 338 Views
DOI:10.17265/2328-2142/2023.04.002
1. Beijing Jiaotong University, Beijing 100044, China
2. Central University of Finance and Economics, Beijing 100081, China
3. China Highway & Transportation Society, Beijing 100011, China
In order to reveal the complex network characteristics and evolution principle of China aviation network, the relationship between the node degree and the nearest neighbor average degree and its evolution trace of China aviation network in 1988, 1994, 2001, 2008 and 2015 were studied. According to the theory and method of complex network, the network system was constructed with the city where the airport was located as the network node and the airline as the edge of the network. According to the statistical data, the node nearest neighbor average degree of China aviation network in 1988, 1994, 2001, 2008 and 2015 was calculated. Through regression analysis, it was found that the node degree had a negative exponential relationship with the nearest neighbor average degree, and the two parameters of the negative exponential relationship had linear evolution trace.
China aviation network, complex network, node degree, nearest neighbor average degree, negative exponential relationship, evolution trace.
[1] Hossian, M. M., and Alam, S. 2017. “A Complex Network Approach towards Modeling and Analysis Australia Airport Network.” Journal of Airport Transport Management 60: 1-9.
[2] Rocha, L. E. C. 2017. “Dynamics of Air Transport Networks: A Review from a Complex Systems Perspective.” Chinese Journal of Aeronautics 30 (2): 469-78.
[3] Division of Development and Planning of Civil Aviation Administration of China. 1990, 1996, 2003, 2010, 2017. Civil Aviation Statistical Yearbook of China. Beijing: Civil Aviation Press of China. (in Chinese)
[4] Sun, X. J., and Si, S. K. 2016. Complex Network Algorithms and Applications. Beijing: National Defence Industry Press. (in Chinese)
[5] He, X. Q., and Liu, W. Q. 2006. Application of Regression Analysis. Beijing: China Renmin University Press. (in Chinese)