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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)

Description

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. ↩

Tags
Informational Academic graph Unweighted
Citation
  • 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
http://konect.cc/networks/dblp-author
Networks
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