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euroroad — Euroroad network (2011)

Description

The network of the international E-road network, a numbering system for main roads in Europe (and some neighboring countries) defined by the United Nations Economic Commission for Europe. The network was compiled by L. Šubelj and M. Bajec from the description of the E-roads in Wikipedia. Nodes are the cities listed along the E-roads and an edge connects two cities that are consecutive on some E-road. Some pairs of cities are connected by more than one edge (50 pairs), which presumably correspond to road segments shared by several E-roads, although this is not documented upstream; the E-road numbers are not included. Three cities have no connections (Mariehamn, Kapellskär and Civitavecchia), presumably because they are joined to the network only by ferry routes. The network is undirected and unweighted.

The network has the following properties:

  • (Node) name: the name of the city.
Tags
Transportation Roads Unweighted Multigraph Metadata
Added
2020-08-11
Citation
  • L. Šubelj, M. Bajec, "Robust network community detection using balanced propagation." The European Physical Journal B 81(3), 353-362 (2011) 10.1140/epjb/e2011-10979-2 Sci-Hub
Upstream URL OK
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Networks
Tip: hover over a column header for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
euroroad 1,177 1,469 2.50 1.32 2.56 1970.92 0.19 0.03 62 0.88 Undirected Unipartite name 29 KiB 40 KiB 39 KiB 33 KiB
Ridiculograms*
* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.