[email protected] | |
3275638434 | |
Paper Publishing WeChat |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Cheng Xiangjun, Yang Fang and Xiong Zhihua
Full-Text PDF XML 25 Views
DOI:10.17265/2328-2142/2024.04.001
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 arithmetic average of edge vertices nearest neighbor average degree values of China aviation network 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 arithmetic averages of edge vertices nearest neighbor average degree values of China aviation network in 1988, 1994, 2001, 2008 and 2015 were calculated. Using the probability statistical analysis method, it was found that the arithmetic average of edge vertices nearest neighbor average degree values had the probability distribution of normal function and the position parameters and scale parameters of the probability distribution had linear evolution trace.
Complex network, China aviation network, arithmetic average of edge vertices nearest neighbor average degree value, linear evolution trace.
Journal of Traffic and Transportation Engineering 12 (2024) 163-174 doi: 10.17265/2328-2142/2024.04.001
[1] Hossian, M. M., and Alam, S. 2017. “A Complex Network Approach towards Modeling and Analysis of the 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] Zhang, G. F., and Zhang, Y. 2017. Probability and Statistics. Beijing: Higher Education Press. (in Chinese)
[6] He, X. Q., and Liu, W. Q. 2006. Application of Regression Analysis. Beijing: China Renmin University Press. (in Chinese)