Matrix: Pajek/Erdos971
Description: Pajek network: Erdos collaboration network
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| (undirected graph drawing) |
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| Matrix properties | |
| number of rows | 472 |
| number of columns | 472 |
| nonzeros | 2,628 |
| # strongly connected comp. | 42 |
| explicit zero entries | 0 |
| nonzero pattern symmetry | symmetric |
| numeric value symmetry | symmetric |
| type | binary |
| structure | symmetric |
| Cholesky candidate? | no |
| positive definite? | no |
| author | J. Grossman, P. Iain, R. Castro |
| editor | V. Batagelj |
| date | 2006 |
| kind | undirected graph |
| 2D/3D problem? | no |
| Additional fields | size and type |
| nodename | full 472-by-33 |
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) | 16.71 |
| min(svd(A)) | 0 |
| cond(A) | Inf |
| rank(A) | 413 |
| null space dimension | 59 |
| full numerical rank? | no |
| singular value gap | 1.90611e+12 |
| 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.