# Netzschleuder network catalogue, repository and centrifuge

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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"]


# dblp_coauthor — DBLP authors (2016)

Description

Scientific collaborations among authors of papers in the DBLP computer science bibliographic database. 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 (hence, this is a projection from a bipartite graph of authors and their publications). The date of this snapshot is uncertain.1

1. Description obtained from the ICON project.

Tags
Social Collaboration Unweighted Multigraph Projection
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_coauthor
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 1,824,701 29,487,744 32.32 99.31 285.00 1137.14 0.15 0.23 23 0.91 Undirected Unipartite meta weight time 72.2 MiB 164.5 MiB 156.2 MiB 137.3 MiB