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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["email_enron"]

email_enron — Email network (Enron corpus)


The Enron email corpus, containing all the email communication from the Enron corporation, which was made public as a result of legal action. Nodes are email addresses and node i links to node j if i sent at least one email to address j. Non-Enron email addresses are also present, but only their links to/from Enron addresses are observed.1

  1. Description obtained from the ICON project. 

Social Communication Unweighted 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
email_enron 36,692 367,662 10.02 72.20 115.48 283.03 -0.11 0.09 13 0.92 Directed Unipartite 1.0 MiB 1.9 MiB 1.9 MiB 1.6 MiB
None drawing