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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["delicious/ut"]
Three bipartite networks that make up the del.icio.us folksonomy, representing the tag-URL, user-URL, and user-tag networks. The date of this snapshot is uncertain.1
Name | Nodes | Edges | $\left<k\right>$ | $\sigma_k$ | $\lambda_h$ | $\tau$ | $r$ | $c$ | $\oslash$ | $S$ | Kind | Mode | NPs | EPs | gt | GraphML | GML | csv |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ut | 5,345,180 | 301,186,579 | 112.69 | 5925.05 | 3191.67 | 1872.54 | -0.17 | 0.00 | 14 | 1.00 | Undirected | Bipartite | meta | weight time | 498.7 MiB | 1.288 GiB | 1.262 GiB | 1.048 GiB |
ti | 38,289,740 | 301,183,605 | 15.73 | 2210.24 | 1336.99 | 710.36 | -0.17 | 0.00 | 26 | 0.97 | Undirected | Bipartite | meta | weight time | 831.5 MiB | 1.641 GiB | 1.595 GiB | 1.479 GiB |
ui | 34,611,302 | 301,186,579 | 17.40 | 242.99 | 654.88 | 53560.84 | -0.03 | 0.00 | 29 | 0.99 | Undirected | Bipartite | meta | weight time | 1016.9 MiB | 1.687 GiB | 1.652 GiB | 1.616 GiB |