Abstract
AbstractBased on the complex network theory, a non-Markov higher-order network model is used to abstract China’s high-speed railway system into a higher-order high-speed railway network (HHRN), and its community structure and node importance are analyzed. The results of community division show that the spatial distribution of high-speed railway communities is mainly affected by geographical location and high-speed railway trunk lines. There is an overlap between different communities, and some nodes belong to multiple communities at the same time. Node importance analysis results show that the distribution of important nodes has obvious regional characteristics; comparing the results of community division, it is found that important nodes basically belong to multiple communities, while non-important nodes mostly belong to a single community. Based on the results of these studies, some suggestions are given for the optimization of China’s high-speed railway development.KeywordsHigher-order high-speed railway networkHigher-order network modelCommunity structureNode importance analysisComplex network
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