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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["urban_streets/ahmedabad"]
20 urban street networks, corresponding to 1-square-mile maps of 20 cities around the world.1
Name | Nodes | Edges | $\left<k\right>$ | $\sigma_k$ | $\lambda_h$ | $\tau$ | $r$ | $c$ | $\oslash$ | $S$ | Kind | Mode | NPs | EPs | gt | GraphML | GML | csv |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ahmedabad | 2,870 | 4,387 | 3.06 | 0.61 | 2.28 | 1823.51 | 0.01 | 0.04 | 86 | 1.00 | Undirected | Unipartite | pos | length | 95 KiB | 122 KiB | 113 KiB | 96 KiB |
barcelona | 210 | 323 | 3.08 | 1.22 | 2.67 | 104.54 | -0.04 | 0.03 | 24 | 1.00 | Undirected | Unipartite | pos | length | 7 KiB | 9 KiB | 8 KiB | 7 KiB |
bologna | 541 | 773 | 2.86 | 0.95 | 2.32 | 272.44 | 0.01 | 0.03 | 38 | 1.00 | Undirected | Unipartite | pos | length | 19 KiB | 23 KiB | 21 KiB | 19 KiB |
brasilia | 179 | 230 | 2.57 | 1.06 | 2.25 | 174.37 | -0.06 | 0.07 | 22 | 1.00 | Undirected | Unipartite | pos | length | 6 KiB | 8 KiB | 7 KiB | 6 KiB |
cairo | 1,496 | 2,255 | 3.01 | 0.65 | 2.30 | 887.34 | -0.01 | 0.04 | 51 | 1.00 | Undirected | Unipartite | pos | length | 51 KiB | 64 KiB | 58 KiB | 50 KiB |
irvine1 | 32 | 36 | 2.25 | 1.32 | 1.87 | 17.25 | -0.14 | 0.08 | 8 | 1.00 | Undirected | Unipartite | pos | length | 1 KiB | 2 KiB | 1 KiB | 1 KiB |
irvine2 | 217 | 227 | 2.09 | 1.08 | 1.58 | 413.16 | -0.24 | 0.02 | 23 | 0.82 | Undirected | Unipartite | pos | length | 7 KiB | 9 KiB | 8 KiB | 7 KiB |
london | 488 | 730 | 2.99 | 0.93 | 2.41 | 286.56 | -0.03 | 0.02 | 33 | 1.00 | Undirected | Unipartite | pos | length | 17 KiB | 22 KiB | 20 KiB | 17 KiB |
los-angeles | 240 | 340 | 2.83 | 1.27 | 2.47 | 167.58 | -0.05 | 0.00 | 22 | 1.00 | Undirected | Unipartite | pos | length | 8 KiB | 11 KiB | 10 KiB | 8 KiB |
new-delhi | 252 | 334 | 2.65 | 1.01 | 2.14 | 168.90 | -0.09 | 0.03 | 25 | 1.00 | Undirected | Unipartite | pos | length | 9 KiB | 11 KiB | 10 KiB | 8 KiB |
new-york | 248 | 419 | 3.38 | 0.81 | 2.69 | 115.08 | 0.16 | 0.03 | 24 | 1.00 | Undirected | Unipartite | pos | length | 9 KiB | 12 KiB | 10 KiB | 9 KiB |
paris | 335 | 494 | 2.95 | 1.07 | 2.52 | 185.78 | -0.01 | 0.05 | 28 | 1.00 | Undirected | Unipartite | pos | length | 12 KiB | 15 KiB | 13 KiB | 12 KiB |
richmond | 697 | 1,086 | 3.12 | 0.91 | 2.56 | 490.36 | 0.06 | 0.06 | 49 | 1.00 | Undirected | Unipartite | pos | length | 24 KiB | 30 KiB | 28 KiB | 24 KiB |
san-francisco | 169 | 271 | 3.21 | 1.18 | 2.77 | 111.81 | 0.06 | 0.00 | 21 | 1.00 | Undirected | Unipartite | pos | length | 6 KiB | 8 KiB | 7 KiB | 6 KiB |
savannah | 584 | 958 | 3.28 | 0.78 | 2.55 | 443.49 | 0.16 | 0.00 | 39 | 1.00 | Undirected | Unipartite | pos | length | 19 KiB | 24 KiB | 22 KiB | 19 KiB |
seoul | 869 | 1,307 | 3.01 | 0.83 | 2.38 | 518.79 | 0.05 | 0.04 | 50 | 1.00 | Undirected | Unipartite | pos | length | 29 KiB | 37 KiB | 33 KiB | 29 KiB |
venice | 1,840 | 2,407 | 2.62 | 1.02 | 2.43 | 4647.90 | -0.10 | 0.04 | 102 | 1.00 | Undirected | Unipartite | pos | length | 60 KiB | 77 KiB | 71 KiB | 60 KiB |
vienna | 467 | 692 | 2.96 | 0.96 | 2.52 | 231.25 | 0.02 | 0.01 | 32 | 1.00 | Undirected | Unipartite | pos | length | 16 KiB | 21 KiB | 18 KiB | 16 KiB |
walnut-creek | 169 | 197 | 2.33 | 1.11 | 1.81 | 150.67 | -0.13 | 0.00 | 22 | 1.00 | Undirected | Unipartite | pos | length | 6 KiB | 8 KiB | 7 KiB | 6 KiB |
washington | 192 | 303 | 3.16 | 1.29 | 2.83 | 73.15 | -0.04 | 0.04 | 21 | 1.00 | Undirected | Unipartite | pos | length | 7 KiB | 9 KiB | 7 KiB | 7 KiB |