%-------------------------------------------------------------------------------
% UF Sparse Matrix Collection, Tim Davis
% http://www.cise.ufl.edu/research/sparse/matrices/SNAP/roadNet-TX
% name: SNAP/roadNet-TX
% [Road network of Texas]
% id: 2319
% date: 2008
% author: J. Leskovec, K. Lang, A. Dasgupta, M. Mahoney
% ed: J. Leskovec
% fields: name title A id date author ed kind notes
% 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                                                  
%                                                                                
% Texas road network                                                             
%                                                                                
% Dataset information                                                            
%                                                                                
% This is a road network of Texas. Intersections and endpoints are represented by
% nodes, and the roads connecting these intersections or endpoints are           
% represented by undirected edges.                                               
%                                                                                
% Dataset statistics                                                             
% Nodes   1379917                                                                
% Edges   3843320                                                                
% Nodes in largest WCC    1351137 (0.979)                                        
% Edges in largest WCC    3758402 (0.978)                                        
% Nodes in largest SCC    1351137 (0.979)                                        
% Edges in largest SCC    3758402 (0.978)                                        
% Average clustering coefficient  0.0470                                         
% Number of triangles     82869                                                  
% Fraction of closed triangles    0.06022                                        
% Diameter (longest shortest path)    1049                                       
% 90-percentile effective diameter    6.7e+002                                   
%                                                                                
% Source (citation)                                                              
%                                                                                
% J. Leskovec, K. Lang, A. Dasgupta, M. Mahoney. Community Structure in Large    
% Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters.
% arXiv.org:0810.1355, 2008.                                                     
%                                                                                
% Files                                                                          
% File    Description                                                            
% roadNet-TX.txt.gz   Texas road network                                         
%                                                                                
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