konect logo
KONECT
KONECT > Networks > Enron

Enron

About this network

The Enron email network consists of 1,148,072 emails sent between employees of Enron between 1999 and 2003. Nodes in the network are individual employees and edges are individual emails. It is possible to send an email to oneself, and thus this network contains loops.

Network info

CodeEN
Category Communication
Data source http://www.cs.cmu.edu/~enron/
Vertex type User
Edge type Email
FormatDirected: Edges are directed Directed
Edge weightsMultiple unweighted: Multiple edges are possible Multiple unweighted
Metadata Loops:  An edge may connect a node with itself LoopTimestamps:  Edges are annotated with a timestamps Timestamps
Size87,273 vertices (users)
Volume1,148,072 edges (emails)
Unique volume321,918 edges (emails)
Average degree (overall)26.310 edges / vertex
Fill4.2265 10–5 edges / vertex2
Maximum degree38,785 edges
Reciprocity14.6%
Size of LCC84,384 vertices
Size of LSCC9,164 vertices
Wedge count49,424,399
Claw count13,894,959,120
Triangle count1,180,387
Square count92,985,807
4-tour count942,178,964
Power law exponent (estimated) with dmin1.7610 (dmin = 2)
Gini coefficient90.8%
Relative edge distribution entropy82.8%
Assortativity–0.16777
Clustering coefficient7.16%
Diameter14 edges
90-percentile effective diameter5.79 edges
Mean shortest path length4.90 edges
Spectral norm7808.1
Algebraic connectivity0.0041577
Preferential attachment exponent0.78589 (ε = 3.8168)
Temporal distribution of the Enron network
Temporal distribution
Edge multiplicity distribution of the Enron network
Edge multiplicity distribution
Cumulative edge multiplicity distribution of the Enron network
Cumulative edge multiplicity distribution
Degree distribution of the Enron network
Degree distribution
Outdegree distribution of the Enron network
Outdegree distribution
Indegree distribution of the Enron network
Indegree distribution
Degree distribution of the Enron network
Degree distribution
Outdegree distribution of the Enron network
Outdegree distribution
Indegree distribution of the Enron network
Indegree distribution

Out/indegree comparison

Out/indegree comparison of the Enron network
Out/indegree comparison
Degree distribution of the Enron network
Degree distribution
Outdegree distribution of the Enron network
Outdegree distribution
Indegree distribution of the Enron network
Indegree distribution
Degree distribution of the Enron network
Degree distribution
Outdegree distribution of the Enron network
Outdegree distribution
Indegree distribution of the Enron network
Indegree distribution
Clustering coefficient distribution of the Enron network
Clustering coefficient distribution
Distance distribution of the Enron network
Distance distribution
Distance distribution on a logistic scale of the Enron network
Distance distribution on a logistic scale
Temporal distance distribution of the Enron network
Temporal distance distribution
Top-k eigenvalues of A of the Enron network
Top-k eigenvalues of A
Top-k eigenvalues of N of the Enron network
Top-k eigenvalues of N
Top-k eigenvalues of L of the Enron network
Top-k eigenvalues of L
Spectral distribution of the eigenvalues of A of the Enron network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the Enron network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the Enron network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the Enron network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the Enron network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the Enron network
Cumulative spectral distribution of L
Complex eigenvalues of the asymmetric adjacency matrix of the Enron network
Complex eigenvalues of the asymmetric adjacency matrix

Downloads

TSV file:downloadenron.tar.bz2 (3.92 MiB)
Extraction code:downloadenron.tar.bz2 (14.88 KiB)
RDF:download RDFenron.n3.bz2 (9.79 MiB)

References

[1] Enron network dataset -- KONECT, April 2017. [ http ]
[2] Bryan Klimt and Yiming Yang. The Enron corpus: A new dataset for email classification research. In Proc. European Conf. on Machine Learning, pages 217--226, 2004.

BibTeX