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You may also take a look at the source code.
The network in this dataset can be loaded directly from graph-tool with:import graph_tool.all as gt g = gt.collection.ns["dblp_author_paper"]
A bipartite of authors and the papers they wrote, from the DBLP computer science bibliography. This snapshot is from May 2014.1
Name | Nodes | Edges | $\left<k\right>$ | $\sigma_k$ | $\lambda_h$ | $\tau$ | $r$ | $c$ | $\oslash$ | $S$ | Kind | Mode | NPs | EPs | gt | GraphML | GML | csv |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dblp_author_paper | 7,577,304 | 12,282,059 | 3.24 | 8.80 | 25.55 | 1706.70 | -0.10 | 0.00 | 48 | 0.89 | Undirected | Bipartite | 34.3 MiB | 56.6 MiB | 53.9 MiB | 69.5 MiB |