%-------------------------------------------------------------------------------
% UF Sparse Matrix Collection, Tim Davis
% http://www.cise.ufl.edu/research/sparse/matrices/SNAP/soc-sign-Slashdot090216
% name: SNAP/soc-sign-Slashdot090216
% [Slashdot Zoo signed social network from February 16 2009]
% id: 2327
% date: 2009
% author: J. Leskovec, D. Huttenlocher, J. Kleinberg
% ed: J. Leskovec
% fields: name title A id date author ed kind notes
% kind: directed weighted 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                                                  
%                                                                                
% Slashdot social network, February 2009                                         
%                                                                                
% Dataset information                                                            
%                                                                                
% Slashdot is a technology-related news website know for its specific user       
% community. The website features user-submitted and editor-evaluated current    
% primarily technology oriented news. In 2002 Slashdot introduced the Slashdot   
% Zoo feature which allows users to tag each other as friends or foes. The       
% network cotains friend/foe links between the users of Slashdot. The network was
% obtained in February 2009.                                                     
%                                                                                
% Dataset statistics                                                             
% Nodes   81871                                                                  
% Edges   545671                                                                 
% Nodes in largest WCC    81867 (1.000)                                          
% Edges in largest WCC    545671 (1.000)                                         
% Nodes in largest SCC    27222 (0.332)                                          
% Edges in largest SCC    342747 (0.628)                                         
% Average clustering coefficient  0.0859                                         
% Number of triangles     570569                                                 
% Fraction of closed triangles    0.02351                                        
% Diameter (longest shortest path)    11                                         
% 90-percentile effective diameter    4.7                                        
%                                                                                
% Source (citation)                                                              
%                                                                                
% J. Leskovec, D. Huttenlocher, J. Kleinberg: Signed Networks in Social Media.   
% 28th ACM Conference on Human Factors in Computing Systems (CHI), 2010.         
%                                                                                
% Files                                                                          
% File    Description                                                            
% soc-sign-Slashdot090216.txt.gz                                                 
%         Slashdot Zoo signed social network from February 16 2009               
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