Matrix: Pajek/SmallW
Description: Pajek network: SmallW citation network
(bipartite graph drawing) | (graph drawing of A+A') |
Matrix properties | |
number of rows | 396 |
number of columns | 396 |
nonzeros | 994 |
# strongly connected comp. | 396 |
explicit zero entries | 0 |
nonzero pattern symmetry | 0% |
numeric value symmetry | 0% |
type | integer |
structure | unsymmetric |
Cholesky candidate? | no |
positive definite? | no |
author | E. Garfield |
editor | V. Batagelj |
date | 2002 |
kind | directed multigraph |
2D/3D problem? | no |
Additional fields | size and type |
pubyear | full 396-by-1 |
gcs | full 396-by-1 |
nodename | full 396-by-18 |
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/. ------------------------------------------------------------------------------ Papers that cite S Milgram's 1967 Psychology Today paper or use Small World Tue Jul 23 13:35:11 2002
SVD-based statistics: | |
norm(A) | 32.8034 |
min(svd(A)) | 0 |
cond(A) | Inf |
rank(A) | 92 |
null space dimension | 304 |
full numerical rank? | no |
singular value gap | 6.04833e+13 |
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.