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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["petster"]

petster — Pet owner social networks (2016)

Description

A network of friendships among users on catster.com and dogster.com. Node represents a user, and edge exists if two users self-identify as friends on either website. The dogster/catster network also contains family links between dog and dog, cat and cat, as well as dog and cat.1


  1. Description obtained from the ICON project. ↩

Tags
Social Online Unweighted
Citation
Upstream URL OK
http://konect.cc/networks/petster-carnivore
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
petster 623,766 15,699,276 50.34 469.04 1189.48 74405.92 -0.09 0.03 15 0.96 Undirected Unipartite meta 26.9 MiB 64.6 MiB 62.0 MiB 62.6 MiB
Ridiculograms*
None drawing
* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.