Netzschleuder
network catalogue, repository and centrifuge
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You may also take a look at the source code.
The networks in this dataset can be loaded directly from graph-tool with:(and likewise for the other networks available.)import graph_tool.all as gt g = gt.collection.ns["roadnet/CA"]
roadnet — U.S. roads (CA, PA, TX)
- Description
Road networks from three US states (CA, PA, TX), in which edges are stretches of road and vertices are intersections of roads.1
- Tags
- Transportation Roads Unweighted
- Citation
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- J. Leskovec, K. Lang, A. Dasgupta, M. Mahoney. "Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters." Internet Mathematics 6(1), 29-123 (2009). arxiv:0810.1355, http://arxiv.org/abs/0810.1355
- Upstream URL OK
- http://snap.stanford.edu/data/roadNet-CA.html
- Networks
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Tip: click on the table header to sort the list. Hover your mouse over it 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 CA 1,971,281 5,533,214 5.61 2.01 3.32 1062213.81 0.13 0.05 857 0.99 Undirected Unipartite 36.9 MiB 54.6 MiB 53.0 MiB 48.3 MiB PA 1,090,920 3,083,796 5.65 2.05 3.11 1673263.65 0.12 0.05 794 1.00 Undirected Unipartite 20.5 MiB 30.3 MiB 29.6 MiB 25.9 MiB TX 1,393,383 3,843,320 5.52 2.07 3.56 3265801.80 0.13 0.05 1,064 0.97 Undirected Unipartite 26.1 MiB 39.0 MiB 38.2 MiB 34.4 MiB - Ridiculograms
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CA PA TX