Matrix: Pajek/foldoc
Description: Pajek network: free on-line dictionary of computing
(bipartite graph drawing) | (graph drawing of A+A') |
Matrix properties | |
number of rows | 13,356 |
number of columns | 13,356 |
nonzeros | 120,238 |
# strongly connected comp. | 71 |
explicit zero entries | 0 |
nonzero pattern symmetry | 48% |
numeric value symmetry | 46% |
type | integer |
structure | unsymmetric |
Cholesky candidate? | no |
positive definite? | no |
author | D. Howe |
editor | V. Batagelj, A. Mrvar |
date | 2002 |
kind | directed weighted graph |
2D/3D problem? | no |
Additional fields | size and type |
nodename | full 13356-by-67 |
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/. ------------------------------------------------------------------------------
SVD-based statistics: | |
norm(A) | 46.2394 |
min(svd(A)) | 1.72632e-32 |
cond(A) | 2.6785e+33 |
rank(A) | 12,919 |
null space dimension | 437 |
full numerical rank? | no |
singular value gap | 1.32027e+11 |
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.