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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_coauthor_snap"]

dblp_coauthor_snap — DBLP authors (2012)

Description

A coauthorship network extracted from the DBLP computer science manuscript database, in 2012. This network is a one-mode projection from the bipartite graph of computer scientists and their publications.1


  1. Description obtained from the ICON project. 

Tags
Social Collaboration Unweighted Metadata Projection
Citation
  • J. Yang and J. Leskovec. "Defining and Evaluating Network Communities based on Ground-truth." Proc. IEEE Internat. Conf. on Data Mining (ICDM 2012). arxiv:1205.6233, http://arxiv.org/abs/1205.6233
Upstream URL [Errno 110] Connection timed out
http://snap.stanford.edu/data/com-DBLP.html
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_coauthor_snap 425,957 1,049,866 4.93 9.10 114.72 372.79 0.27 0.31 23 0.74 Undirected Unipartite communities 9.8 MiB 14.2 MiB 12.5 MiB 13.9 MiB
Ridiculograms
None drawing