Abstract
Public transport network in Wuhan, the central metropolitan of China, is analyzed in this paper. Structure properties are studied in the light of recently investigations of the scaling properties of different complex networks. Network is discussed using fuzzy clustering analysis, all nodes are connected when cut level γ= 0.6 The degree distribution can be described by an exponential function according to the ideal of the space P. Node degrees, edge weights, average path lengths and clustering coefficients are considered. The network displays small-world properties.
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Wang, M., Hu, Bq., Wu, X., Niu, Yq. (2009). The Topological and Statistical Analysis of Public Transport Network Based on Fuzzy Clustering. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_126
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DOI: https://doi.org/10.1007/978-3-642-03664-4_126
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