Description: Email communication network from Enron
|(undirected graph drawing)|
|number of rows||36,692|
|number of columns||36,692|
|# strongly connected comp.||1,065|
|explicit zero entries||0|
|nonzero pattern symmetry||symmetric|
|numeric value symmetry||symmetric|
|author||L. Kaelbling, M. Gervasio, W. Cohen|
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 This data was originally made public, and posted to the web, by the Federal Energy Regulatory Commission during its investigation.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/
|null space dimension||11,753|
|full numerical rank?||no|
|singular value gap||2.13047e+06|
|singular values (MAT file):||click here|
|SVD method used:||s = svd (full (A))|
For a description of the statistics displayed above, click here.
Maintained by Tim Davis, last updated 12-Mar-2014.
Matrix pictures by cspy, a MATLAB function in the CSparse package.
Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.