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The network in this dataset can be loaded directly from graph-tool with:import graph_tool.all as gt g = gt.collection.ns["movielens_100k"]
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.)1
Name | Nodes | Edges | $\left<k\right>$ | $\sigma_k$ | $\lambda_h$ | $\tau$ | $r$ | $c$ | $\oslash$ | $S$ | Kind | Mode | NPs | EPs | gt | GraphML | GML | csv |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
movielens_100k | 24,129 | 95,580 | 7.92 | 22.20 | 40.18 | 39.85 | -0.03 | 0.00 | 14 | 0.98 | Undirected | Bipartite | weight time | 747 KiB | 1.0 MiB | 1.0 MiB | 968 KiB |