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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"]

dblp_author_paper — DBLP author-paper (2014)


A bipartite of authors and the papers they wrote, from the DBLP computer science bibliography. This snapshot is from May 2014.1

  1. Description obtained from the ICON project. 

Informational Academic graph Unweighted
  • M. Ley, "The DBLP computer science bibliography: Evolution, research issues, perspectives." Proc. of the 9th Int. Symposium on String Processing and Information Retrieval (SPIRE), 1-10 (2002), https://doi.org/10.1007/3-540-45735-6_1 [@sci-hub]
Upstream URL OK
Tip: hover your mouse over a table header to obtain a legend.
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