 |
[email protected] |
 |
3275638434 |
 |
 |
| Paper Publishing WeChat |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Cheng Xiangjun, Yang Fang, Wei Liying
Full-Text PDF
XML 104 Views
DOI:doi: 10.17265/2328-2142/2024.03.002
School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China
In order to reveal the complex network characteristics and evolution principle of China aviation network, the probability distribution and evolution trace of ratio of China aviation network edge vertices degree were studied based on the statistics data of China civil aviation network in 1988, 1994, 2001, 2008 and 2015. 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 route between cities as the edge of the network. Based on the statistical data, the ratio of edge vertices degree in China aviation network in 1988, 1994, 2001, 2008 and 2015 were calculated. Using the probability statistical analysis method and regression analysis approach, it was found that the ratio of edge vertices degree had linear probability distribution and the two parameters of the probability distribution had linear evolution trace.
Complex network, China aviation network, ratio of edge vertices degree, linear probability distribution, linear evolution trace.
Journal of Traffic and Transportation Engineering 12 (2024) 119-129 doi: 10.17265/2328-2142/2024.03.002
[1] Hossian, M. M., Alam, S. 2017. “A complex network approach towards modeling and analysis Australia airport network”, Journal of Airport Transport Management, 60: 1-9.
[2] Luis E. C. R. 2017. “Dynamics of air transport networks: A review from a complex systems perspective”, Chinese Journal of Aeronautics. 30(2): 469-478.
[3] Cheng X. J., Yu A. H. and Chen X. M. 2020. “Probability Distribution and Their Non-linear Relationship between Node Degree and Clustering Coefficient of Aviation Network of China Based on Complex Network. ” Journal of Traffic and Transportation Engineering, Vol. 8, No.2, Mar.-Apr.: 55~62..
[4] Cheng X. J., Zhang C. Y and Liang Y. P. 2024. “Probability Distribution of China Aviation Network Average Degree of Edge Vertices and Its Evolutionary Trace Based on Complex Network.” Journal of Traffic and Transportation Engineering, Vol. 12, No.2, Mar.-Apr.: 51~62.
[5] Division of Development and Planning of Civil Aviation Administration of China. Civil Aviation Statistical Yearbook of China, Civil Aviation Press of China, 1990,1996,2003,2010,2017. (in Chinese)
[6] Sun X. J., Si S. K. 2016. Complex Network Algorithms and Applications. National Defence Industry Press. (in Chinese)
[7] Zhang G. F., Zhang Y. 2017. Probability and Statistics. Higher Education Press. (in Chinese)
[8] He X. Q., Liu W. Q. 2006. Application of Regression Analysis. China Renmin University Press, 2006. (in Chinese)