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% UF Sparse Matrix Collection, Tim Davis
% http://www.cise.ufl.edu/research/sparse/matrices/SNAP/email-EuAll
% name: SNAP/email-EuAll
% [Email network from a EU research institution]
% id: 2289
% date: 2005
% author: J. Leskovec, J. Kleinberg and C. Faloutsos
% ed: J. Leskovec
% fields: name title A id date author ed kind notes
% kind: directed graph
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% 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                                                  
%                                                                                
% EU email communication network                                                 
%                                                                                
% Dataset information                                                            
%                                                                                
% The network was generated using email data from a large European research      
% institution. For a period from October 2003 to May 2005 (18 months) we have    
% anonymized information about all incoming and outgoing email of the research   
% institution. For each sent or received email message we know the time, the     
% sender and the recipient of the email. Overall we have 3,038,531 emails between
% 287,755 different email addresses. Note that we have a complete email graph for
% only 1,258 email addresses that come from the research institution.            
% Furthermore, there are 34,203 email addresses that both sent and received email
% within the span of our dataset. All other email addresses are either           
% non-existing, mistyped or spam.                                                
%                                                                                
% Given a set of email messages, each node corresponds to an email address. We   
% create a directed edge between nodes i and j, if i sent at least one message to
% j.                                                                             
%                                                                                
% Dataset statistics                                                             
%                                                                                
% Nodes   265214                                                                 
% Edges   420045                                                                 
% Nodes in largest WCC    224832 (0.848)                                         
% Edges in largest WCC    395270 (0.941)                                         
% Nodes in largest SCC    34203 (0.129)                                          
% Edges in largest SCC    151930 (0.362)                                         
% Average clustering coefficient  0.3093                                         
% Number of triangles     267313                                                 
% Fraction of closed triangles    0.004106                                       
% Diameter (longest shortest path)    13                                         
% 90-percentile effective diameter    4.5                                        
%                                                                                
% Source (citation)                                                              
%                                                                                
% J. Leskovec, J. Kleinberg and C. Faloutsos. Graph Evolution: Densification and 
% Shrinking Diameters. ACM Transactions on Knowledge Discovery from Data (ACM    
% TKDD), 1(1), 2007.                                                             
%                                                                                
% Files                                                                          
% File    Description                                                            
% email-EuAll.txt.gz  Email network of a large European Research Institution     
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