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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["bibsonomy"]

bibsonomy — BibSonomy


Three bipartite networks that make up the BibSonomy folksonomy, representing the tag-publication, user-publication, and user-tag networks. The date of this snapshot is uncertain.1

  1. Description obtained from the ICON project. 

Informational Folksonomy Unweighted Multigraph Timestamps
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
bibsonomy 972,120 2,555,080 5.26 201.14 167.83 9651.27 -0.05 0.00 22 0.96 Undirected Bipartite meta weight time 22.2 MiB 32.8 MiB 32.2 MiB 31.1 MiB
None drawing