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["dblp_simplices/max-25-bip"]
A hypergraph representing collaborations among authors listed in DBLP, the computer science bibliographic database, as of 3 Sept. 2017. Each node represents an author, and each publication is represented by a simplex (a set of nodes, i.e., a hyperedge), timestamped by the year of publication. In addition to the hypergraph, a weighted projection of the same network is available.1
Name | Nodes | Edges | $\left<k\right>$ | $\sigma_k$ | $\lambda_h$ | $\tau$ | $r$ | $c$ | $\oslash$ | $S$ | Kind | Mode | NPs | EPs | gt | GraphML | GML | csv |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
max-25-bip | 5,630,445 | 10,304,422 | 3.66 | 9.98 | 26.20 | 1700.20 | -0.12 | 0.00 | 45 | 0.91 | Undirected | Bipartite | label is_simplex | time | 42.9 MiB | 76.6 MiB | 68.0 MiB | 80.3 MiB |
max-25-proj | 1,930,378 | 14,103,414 | 14.61 | 46.32 | 119.13 | 592.37 | 0.14 | 0.20 | 22 | 0.86 | Undirected | Unipartite | label | time | 43.7 MiB | 84.3 MiB | 72.8 MiB | 69.4 MiB |
full-bip | 5,631,059 | 10,326,841 | 3.67 | 9.99 | 26.20 | 1700.20 | -0.12 | 0.00 | 45 | 0.91 | Undirected | Bipartite | label is_simplex | time | 42.9 MiB | 76.8 MiB | 68.1 MiB | 80.5 MiB |
full-proj | 1,930,378 | 14,639,786 | 15.17 | 47.88 | 282.83 | 592.37 | 0.15 | 0.23 | 22 | 0.86 | Undirected | Unipartite | label | time | 44.0 MiB | 86.1 MiB | 74.1 MiB | 70.9 MiB |