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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["arxiv_authors/AstroPh"]
Scientific collaborations between authors of papers submitted to arxiv.org, under 5 categories: gr-qc, astro-ph, cond-mat, hep-ph, and hep-th categories, spanning January 1993 to April 2003. 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.1
Name | Nodes | Edges | $\left<k\right>$ | $\sigma_k$ | $\lambda_h$ | $\tau$ | $r$ | $c$ | $\oslash$ | $S$ | Kind | Mode | NPs | EPs | gt | GraphML | GML | csv |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AstroPh | 133,280 | 396,160 | 5.94 | 27.24 | 92.56 | 158.60 | 0.21 | 0.32 | 14 | 0.13 | Undirected | Unipartite | 2.5 MiB | 4.2 MiB | 4.2 MiB | 3.9 MiB | ||
CondMat | 108,300 | 186,936 | 3.45 | 11.85 | 35.92 | 138.65 | 0.14 | 0.26 | 15 | 0.20 | Undirected | Unipartite | 1.9 MiB | 2.9 MiB | 3.0 MiB | 2.7 MiB | ||
GrQc | 26,197 | 28,980 | 2.21 | 8.35 | 44.44 | 535.05 | 0.66 | 0.61 | 17 | 0.16 | Undirected | Unipartite | 439 KiB | 650 KiB | 654 KiB | 587 KiB | ||
HepPh | 89,209 | 237,010 | 5.31 | 36.78 | 243.76 | 561.77 | 0.63 | 0.66 | 13 | 0.13 | Undirected | Unipartite | 1.5 MiB | 2.6 MiB | 2.6 MiB | 2.5 MiB | ||
HepTh | 68,746 | 51,971 | 1.51 | 5.97 | 30.01 | 319.87 | 0.27 | 0.27 | 18 | 0.13 | Undirected | Unipartite | 1.1 MiB | 1.6 MiB | 1.6 MiB | 1.4 MiB |