CROSS-DISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
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A Dynamic Evolution Model of Airline Networks |
Ze-Jun Xie**, Lu-Man Zhang, Sheng-Feng Deng, Wei Li |
College of Physical Science and Technology, Central China Normal University, Wuhan 430079
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Cite this article: |
Ze-Jun Xie, Lu-Man Zhang, Sheng-Feng Deng et al 2017 Chin. Phys. Lett. 34 058902 |
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Abstract Empirical data show that most of the degree distribution of airline networks assume a double power law. In this work, firstly, we assume cities as sites, flight between two cities as an edge between two sites, and build a dynamic evolution model for airline networks by improving the BA model, in which the conception of attractiveness plays a decisive role in the course of evolution of the networks. To this end, we discuss whether the attractiveness depends on the site label $s$ or not separately, finally we obtain analytic degree distribution. As a result, if the attractiveness of a site is independent of the degree distribution of sites, which will follow the double power law, otherwise, it will be scale-free. Moreover, degree distribution depends on the parameters of the models, and some parameters are more sensitive than others.
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Received: 11 January 2017
Published: 29 April 2017
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Fund: Supported by the National Natural Science Foundation of China under Grant No 10975057, and the Programme of Introducing Talents of Discipline to Universities under Grant No B08033. |
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