Matrix: Pajek/GD97_b
Description: Pajek network: Graph Drawing contest 1997
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| (undirected graph drawing) |
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| Matrix properties | |
| number of rows | 47 |
| number of columns | 47 |
| nonzeros | 264 |
| # strongly connected comp. | 2 |
| explicit zero entries | 0 |
| nonzero pattern symmetry | symmetric |
| numeric value symmetry | symmetric |
| type | real |
| structure | symmetric |
| Cholesky candidate? | no |
| positive definite? | no |
| author | Graph Drawing Contest |
| editor | V. Batagelj |
| date | 1997 |
| kind | undirected weighted graph |
| 2D/3D problem? | no |
| Additional fields | size and type |
| nodename | full 47-by-30 |
| coord | full 47-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/. ------------------------------------------------------------------------------ Regarding conversion for UF sparse matrix collection: in the original data every edge appears exactly twice, with the same edge weight. It could be a multigraph, but it looks more like a graph. The duplicate edges are removed in this version. You can always add them back in yourself; just look at 2*A. ------------------------------------------------------------------------------ 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) | 2841.06 |
| min(svd(A)) | 0 |
| cond(A) | Inf |
| rank(A) | 44 |
| null space dimension | 3 |
| full numerical rank? | no |
| singular value gap | 8.48707e+09 |
| 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.