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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["stanford_web"]

stanford_web — Webgraph (Stanford)

Description

The web graph of Stanford University (stanford.edu), as collected in 2002. Nodes represent pages and directed edges represent hyperlinks between them.

Tags
Informational Web graph Unweighted
Citation
  • J. Leskovec, K. Lang, A. Dasgupta, M. Mahoney. Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters. Internet Mathematics 6(1) 29--123, 2009, https://arxiv.org/abs/0810.1355
Upstream URL OK
https://snap.stanford.edu/data/web-Stanford.html
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
stanford_web 281,904 2,312,497 8.20 167.25 423.82 70233.02 -0.10 0.01 164 0.91 Directed Unipartite 6.8 MiB 15.3 MiB 15.0 MiB 13.3 MiB
Ridiculograms
None drawing