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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["berkstan_web"]

berkstan_web — Webgraph (Berkeley-Stanford)

Description

The web graph of Berkeley and Stanford Universities (berkeley.edu and 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-BerkStan.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
berkstan_web 685,231 7,600,595 11.09 285.98 663.80 389618.19 -0.10 0.01 208 0.96 Directed Unipartite 11.9 MiB 29.9 MiB 28.6 MiB 27.2 MiB
Ridiculograms
None drawing