%-------------------------------------------------------------------------------
% UF Sparse Matrix Collection, Tim Davis
% http://www.cise.ufl.edu/research/sparse/matrices/Newman/cond-mat-2003
% name: Newman/cond-mat-2003
% [collaboration network, preprints in condensed matter archive, www.arxiv.org]
% id: 2394
% date: 2003
% author: M. Newman
% ed: M. Newman
% fields: name title A id date author kind notes aux ed
% aux: nodename
% kind: undirected weighted graph
%-------------------------------------------------------------------------------
% notes:
% Network collection from M. Newman                                          
% http://www-personal.umich.edu/~mejn/netdata/                               
%                                                                            
% The graph cond-mat-2003 contains an updated version of cond-mat, the       
% collaboration network of scientists posting preprints on the condensed     
% matter archive at www.arxiv.org.  This version is based on preprints posted
% to the archive between January 1, 1995 and June 30, 2003.  The largest     
% component of this network, which contains 27519 scientists, has been used  
% by several authors as a test-bed for community-finding algorithms for large
% networks; see for example J. Duch and A. Arenas, Phys. Rev. E 72, 027104   
% (2005).  The network is weighted, with weights assigned as described in    
% M. E. J. Newman, Phys. Rev. E 64, 016132 (2001).                           
%                                                                            
% These data can be cited as either of:                                      
%                                                                            
%   M. E. J. Newman, The structure of scientific collaboration networks,     
%   Proc. Natl. Acad. Sci. USA 98, 404-409 (2001).  This paper describes the 
%   original 1999 version of the network.                                    
%                                                                            
%   M. E. J. Newman, Fast algorithm for detecting community structure in     
%   networks, Phys. Rev. E 69, 066133 (2004).  This paper describes the 2003 
%   version.                                                                 
%-------------------------------------------------------------------------------
