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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["dblp_coauthor"]
Scientific collaborations among authors of papers in the DBLP computer science bibliographic database. If an author i co-authored a paper with author j, the graph contains a undirected edge from i to j. If the paper is co-authored by k authors this generates a completely connected (sub)graph on k nodes (hence, this is a projection from a bipartite graph of authors and their publications). 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dblp_coauthor | 1,824,701 | 29,487,744 | 32.32 | 99.31 | 285.00 | 1137.14 | 0.15 | 0.23 | 23 | 0.91 | Undirected | Unipartite | meta | weight time | 72.2 MiB | 164.5 MiB | 156.9 MiB | 137.3 MiB |