Matrix: Pajek/Sandi_sandi
Description: Pajek network: Klavzar bibliography
(bipartite graph drawing) |
Matrix properties | |
number of rows | 314 |
number of columns | 360 |
nonzeros | 613 |
structural full rank? | no |
structural rank | 246 |
# of blocks from dmperm | 122 |
# strongly connected comp. | 129 |
explicit zero entries | 0 |
nonzero pattern symmetry | 0% |
numeric value symmetry | 0% |
type | binary |
structure | rectangular |
Cholesky candidate? | no |
positive definite? | no |
author | I. Klavzar |
editor | V. Batagelj |
date | 1999 |
kind | bipartite graph |
2D/3D problem? | no |
Additional fields | size and type |
colname | full 360-by-8 |
rowname | full 314-by-24 |
coord | full 674-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/. ------------------------------------------------------------------------------ The original problem had 3D xyz coordinates, but all values of z were equal to 0.5, and have been removed. This graph has 2D coordinates.
SVD-based statistics: | |
norm(A) | 5.72862 |
min(svd(A)) | 3.89787e-17 |
cond(A) | 1.46968e+17 |
rank(A) | 239 |
sprank(A)-rank(A) | 7 |
null space dimension | 75 |
full numerical rank? | no |
singular value gap | 2.45259e+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.