%-------------------------------------------------------------------------------
% UF Sparse Matrix Collection, Tim Davis
% http://www.cise.ufl.edu/research/sparse/matrices/SNAP/ca-HepPh
% name: SNAP/ca-HepPh
% [Collaboration network of Arxiv High Energy Physics]
% id: 2298
% date: 2003
% author: J. Leskovec, J. Kleinberg and C. Faloutsos
% ed: J. Leskovec
% fields: name title A id date author ed kind notes aux
% aux: nodename
% kind: undirected graph
%-------------------------------------------------------------------------------
% 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                                                  
%                                                                                
% High Energy Physics - Phenomenology collaboration network                      
%                                                                                
% Dataset information                                                            
%                                                                                
% Arxiv HEP-PH (High Energy Physics - Phenomenology) collaboration network is    
% from the e-print arXiv and covers scientific collaborations between authors    
% papers submitted to High Energy Physics - Phenomenology category. If an author 
% i co-authored a paper with author j, the graph contains a undirected edge from 
% i to j. If the paper is co-authored by k authors this generates a completely   
% connected (sub)graph on k nodes.                                               
%                                                                                
% The data covers papers in the period from January 1993 to April 2003 (124      
% months). It begins within a few months of the inception of the arXiv, and thus 
% represents essentially the complete history of its HEP-PH section.             
%                                                                                
% Dataset statistics                                                             
% Nodes   12008                                                                  
% Edges   237010                                                                 
% Nodes in largest WCC    11204 (0.933)                                          
% Edges in largest WCC    235268 (0.993)                                         
% Nodes in largest SCC    11204 (0.933)                                          
% Edges in largest SCC    235268 (0.993)                                         
% Average clustering coefficient  0.6115                                         
% Number of triangles     3358499                                                
% Fraction of closed triangles    0.6595                                         
% Diameter (longest shortest path)    13                                         
% 90-percentile effective diameter    5.8                                        
%                                                                                
% 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                                                            
% ca-HepPh.txt.gz     Collaboration network of Arxiv High Energy Physics category
%-------------------------------------------------------------------------------
