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Fig. 14 | Applied Network Science

Fig. 14

From: Orientations and matrix function-based centralities in multiplex network analysis of urban public transport

Fig. 14

Comparison of selected German cities’ margial node Katz centralities and public transport orientations. The entries in all supra-adjacency matrices are weighted with travel times and frequencies. The hyper-parameters are chosen as \(\alpha =0.5/\lambda _{\mathrm {max}}\), \(\sigma =5\), and \(\Delta t_{\mathrm {transfer}}=5\) for the centrality plots of all cities. The street networks in the background of the centrality plots are created with the OSMnx python package (Boeing 2017)

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