超图
计算机科学
过程(计算)
复杂网络
数学优化
泊松分布
运筹学
数学
统计
操作系统
离散数学
万维网
作者
Ping Yu,Zhiping Wang,Peiwen Wang,Haofei Yin,Jia Wang
标识
DOI:10.1016/j.physa.2022.127247
摘要
This study aims to use evolutionary hypergraphs to explore the dynamic evolution mechanism of the shipping network. Firstly, an evolution model of the shipping network is constructed, in which nodes represent ports while hyperedges represent routes between ports. The evolution process includes the addition of new nodes, linking of old nodes, and rewiring of links. Then, based on Poisson process theory and continuum method, we obtained that the stationary average hyperdegree distribution obeys a shifted power law. Finally, the effects of different parameters on the model are tested. The results show that ports with a developed hinterland economy and great influence have obvious advantages in the evolution process, gathering a large amount of resource allocation. This model can provide a theoretical reference for the reasonable allocation of routes and the improvement of network efficiency.
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