Matrix properties
number of rows	1,589
number of columns	1,589
nonzeros	5,484
# strongly connected comp.	396
explicit zero entries	0
nonzero pattern symmetry	symmetric
numeric value symmetry	symmetric
type	real
structure	symmetric
Cholesky candidate?	no
positive definite?	no

author	M. Newman
editor	M. Newman
date	2006
kind	undirected weighted graph
2D/3D problem?	no

Additional fields	size and type
nodename	full 1589-by-19

Notes:

Network collection from M. Newman                                          
http://www-personal.umich.edu/~mejn/netdata/                               
                                                                           
The graph netscience contains a coauthorship network of scientists         
working on network theory and experiment, as compiled by M. Newman in May  
2006.  The network was compiled from the bibliographies of two review      
articles on networks, M. E. J. Newman, SIAM Review 45, 167-256 (2003) and  
S. Boccaletti et al., Physics Reports 424, 175-308 (2006), with a few      
additional references added by hand.  The version given here contains all  
components of the network, for a total of 1589 scientists, and not just the
largest component of 379 scientists previously published.  The network is  
weighted, with weights assigned as described in M. E. J. Newman,           
Phys. Rev. E 64, 016132 (2001).                                            
                                                                           
If you make use of these data, please cite M. E. J. Newman, Finding        
community structure in networks using the eigenvectors of matrices,        
Preprint physics/0605087 (2006).                                           

SVD-based statistics:
norm(A)	9.72857
min(svd(A))	0
cond(A)	Inf
rank(A)	1,416
null space dimension	173
full numerical rank?	no
singular value gap	2.45288e+08

singular values (MAT file):	click here
SVD method used:	s = svd (full (A)) ;
status:	ok

For a description of the statistics displayed above, click here.

Maintained by Tim Davis, last updated 12-Mar-2014.
Matrix pictures by cspy, a MATLAB function in the CSparse package.
Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.