# Netzschleuder network catalogue, repository and centrifuge

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You may also take a look at the source code.
The network in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["paris_transportation"]


# paris_transportation — Paris Transportation (2016)

Description

A multiplex transportation network of Ile-de-France, jointly representing the road network, train network, and subway network. Nodes are intersections, rail stations or metro stations. Different modes of transportation are given by different layers. Within-layer edges represent direct transference by a particular mode of transportation, and between-layer edges represent the conjunction of those layers at that node.1

1. Description obtained from the ICON project.

Tags
Transportation Public Transport Multilayer Unweighted
Citation
Upstream URL OK
https://github.com/ComplexNetTSP/MultilayerParis
Networks
Tip: hover your mouse over a table header to obtain a legend.
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
paris_transportation 42,678 51,931 1.22 1.40 1.00 0.01 -0.31 0.00 2 0.00 Directed Bipartite lat lon type name type 1.2 MiB 1.6 MiB 1.7 MiB 1.6 MiB
Ridiculograms