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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["polblogs"]

polblogs — Political blogs network (2004)

Description

A directed network of hyperlinks among a large set of U.S. political weblogs from before the 2004 election. Includes blog political affiliation as metadata.1


  1. Description obtained from the ICON project. ↩

Tags
Informational Web graph Unweighted Metadata
Citation
Upstream URL OK
http://www-personal.umich.edu/~mejn/netdata
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
polblogs 1,490 19,090 12.81 42.93 72.56 14.66 -0.20 0.25 8 0.82 Directed Unipartite label source value 67 KiB 113 KiB 109 KiB 91 KiB
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.