email_enron_law — Enron email network (LAW)

Description

A directed network of email communication built by the Laboratory for Web Algorithmics (LAW) from the Enron email corpus, the partially anonymised collection of email messages of (mostly senior management) employees of the Enron corporation that was made public by the U.S. Federal Energy Regulatory Commission during its investigation of the company. Nodes are correspondents (email addresses, including addresses outside Enron, whose links are only observed through their exchanges with the mailboxes in the corpus), and a directed edge from x to y indicates that y was the recipient of at least one message sent by x. The network has 69,244 nodes and 276,143 edges, including 1,535 self-loops (messages sent to oneself). Nodes are anonymous (no addresses are given), and edges are unweighted.

This version differs in its construction from other networks derived from the same corpus (e.g. the SNAP email-Enron network, which is undirected and has 36,692 nodes).

Tags

Social Communication Unweighted

Citation

P. Boldi and S. Vigna, "The WebGraph framework I: compression techniques." Proceedings of the 13th International Conference on World Wide Web (WWW 2004), 595-602 (2004). 10.1145/988672.988752 Sci-Hub
P. Boldi, M. Rosa, M. Santini, and S. Vigna, "Layered label propagation: a multiresolution coordinate-free ordering for compressing social networks." Proceedings of the 20th International Conference on World Wide Web (WWW 2011), 587-596 (2011). 10.1145/1963405.1963488 Sci-Hub

Upstream URL OK

http://data.law.di.unimi.it/webdata/enron/

Networks

Tip: hover over a column header for a description.

Column legend

$\left<k\right>$: Mean degree
$\sigma_k$: Standard deviation of the degrees
$\lambda_h$: Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$: Random walk mixing time
$r$: Degree assortativity
$c$: Global clustering coefficient
$\oslash$: (Pseudo-) diameter
$S$: Relative size of the largest component
NPs: Node properties
EPs: Edge properties

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_law	69,244	276,143	3.99	39.10	131.66	715.95	-0.16	0.09	14	0.98	Directed	Unipartite			337 KiB	759 KiB	781 KiB	844 KiB