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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["us_patents"]
Citations among patents in the United States, as found in the National Bureau of Economic Research (NBER) database, from 1975 to 1999. In addition to the citation graph, metadata on the patents themselves 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
us_patents | 3,774,768 | 16,522,438 | 8.75 | 10.49 | 110.45 | 322.88 | 0.17 | 0.07 | 26 | 1.00 | Undirected | Unipartite | patent_id GYEAR GDATE APPYEAR COUNTRY POSTATE ASSIGNEE ASSCODE CLAIMS NCLASS CAT SUBCAT CMADE CRECEIVE RATIOCIT GENERAL ORIGINAL FWDAPLAG BCKGTLAG SELFCTUB SELFCTLB SECDUPBD SECDLWBD inventor | 128.4 MiB | 221.2 MiB | 180.1 MiB | 219.3 MiB |