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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["digg_votes"]

digg_votes — Digg story votes (2009)


A bipartite network between users and stories on digg.com from 2009. Each user node connects to all story nodes on which that user voted. Edges are timestamped.1

  1. Description obtained from the ICON project. 

Economic Preferences 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
digg_votes 142,962 3,018,197 42.22 217.76 572.48 2.17 -0.21 0.00 4 1.00 Undirected Bipartite weight time 13.6 MiB 21.5 MiB 21.8 MiB 21.7 MiB
None drawing