SNAP/email-Enron
Email communication network from Enron
| Name |
email-Enron |
| Group |
SNAP |
| Matrix ID |
2290 |
|
Num Rows
|
36,692 |
|
Num Cols
|
36,692 |
|
Nonzeros
|
367,662 |
|
Pattern Entries
|
367,662 |
|
Kind
|
Directed Graph |
|
Symmetric
|
Yes |
|
Date
|
2003 |
|
Author
|
L. Kaelbling, M. Gervasio, W. Cohen |
|
Editor
|
J. Leskovec |
| Structural Rank |
|
| Structural Rank Full |
|
|
Num Dmperm Blocks
|
|
|
Strongly Connect Components
|
1,065 |
|
Num Explicit Zeros
|
0 |
|
Pattern Symmetry
|
100% |
|
Numeric Symmetry
|
100% |
|
Cholesky Candidate
|
no |
|
Positive Definite
|
no |
|
Type
|
binary |
| SVD Statistics |
| Matrix Norm |
1.184177e+02 |
| Minimum Singular Value |
1.255839e-285 |
| Condition Number |
9.429370e+286
|
| Rank |
24,939 |
| sprank(A)-rank(A) |
|
| Null Space Dimension |
11,753 |
| Full Numerical Rank? |
no |
| Download Singular Values |
MATLAB
|
| Download |
MATLAB
Rutherford Boeing
Matrix Market
|
| Notes |
Networks from SNAP (Stanford Network Analysis Platform) Network Data Sets,
Jure Leskovec http://snap.stanford.edu/data/index.html
email jure at cs.stanford.edu
Enron email network
Dataset information
Enron email communication network covers all the email communication within a
dataset of around half million emails. This data was originally made public,
and posted to the web, by the Federal Energy Regulatory Commission during its
investigation. Nodes of the network are email addresses and if an address i
sent at least one email to address j, the graph contains a directed edge from i
to j. Note that non-Enron email addresses act as sinks and sources in the
network as we only observe their communication with the Enron email addresses.
The Enron email data was originally released by William Cohen at CMU.
Dataset statistics
Nodes 36692
Edges 367662
Nodes in largest WCC 33696 (0.918)
Edges in largest WCC 361622 (0.984)
Nodes in largest SCC 33696 (0.918)
Edges in largest SCC 361622 (0.984)
Average clustering coefficient 0.4970
Number of triangles 727044
Fraction of closed triangles 0.08531
Diameter (longest shortest path) 12
90-percentile effective diameter 4.8
Source (citation)
J. Leskovec, J. Kleinberg and C. Faloutsos. Graphs over Time: Densification
Laws, Shrinking Diameters and Possible Explanations. ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining (KDD), 2005.
File Description
email-Enron.txt.gz Enron email network
Enron email data Complete Enron email dataset (includes full email message
text and attachments), at http://www.cs.cmu.edu/~enron/
|
