Problems with this dataset? Open an issue.
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["baseball/player-player"]
Two networks representing steroid use among baseball players. First, a bipartite network of players and their steroid providers (of illegal performance-enhancing substances). Second, a one-mode projection of players, which are linked if they have a common supplier.1
Name | Nodes | Edges | $\left<k\right>$ | $\sigma_k$ | $\lambda_h$ | $\tau$ | $r$ | $c$ | $\oslash$ | $S$ | Kind | Mode | NPs | EPs | gt | GraphML | GML | csv |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
player-player | 72 | 1,089 | 30.25 | 18.59 | 44.00 | 2.56 | 0.99 | 1.00 | 2 | 0.62 | Undirected | Unipartite | name | 2 KiB | 5 KiB | 5 KiB | 4 KiB | |
user-provider | 84 | 84 | 2.00 | 4.78 | 1.73 | 6.60 | -0.45 | 0.00 | 4 | 0.56 | Undirected | Bipartite | name | 2 KiB | 3 KiB | 3 KiB | 2 KiB |