Matrix properties
number of rows	72
number of columns	72
nonzeros	122
# strongly connected comp.	68
explicit zero entries	0
nonzero pattern symmetry	7%
numeric value symmetry	7%
type	binary
structure	unsymmetric
Cholesky candidate?	no
positive definite?	no

author	W. Cherowitzo
editor	V. Batagelj
date	2001
kind	directed graph
2D/3D problem?	no

Additional fields	size and type
nodename	full 72-by-19
coord	full 72-by-2

Notes:

------------------------------------------------------------------------------
Pajek network converted to sparse adjacency matrix for inclusion in UF sparse 
matrix collection, Tim Davis.  For Pajek datasets, See V. Batagelj & A. Mrvar,
http://vlado.fmf.uni-lj.si/pub/networks/data/.                                
------------------------------------------------------------------------------
 Bill Cherowitzo: Graph and Digraph Glossary                                  
 http://www-math.cudenver.edu/~wcherowi/courses/m4408/glossary.html           
 Pajek's network: Barbara Zemlji"c, 2. nov 2003                               
The original problem had 3D xyz coordinates, but all values of z were equal   
to 0, and have been removed.  This graph has 2D coordinates.                  

SVD-based statistics:
norm(A)	5.40624
min(svd(A))	0
cond(A)	Inf
rank(A)	35
null space dimension	37
full numerical rank?	no
singular value gap	3.16719e+14

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.