Matrix: DIMACS10/G_n_pin_pout
Description: DIMACS10 set: clustering/G_n_pin_pout
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| (undirected graph drawing) |
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| Matrix properties | |
| number of rows | 100,000 |
| number of columns | 100,000 |
| nonzeros | 1,002,396 |
| # strongly connected comp. | 6 |
| explicit zero entries | 0 |
| nonzero pattern symmetry | symmetric |
| numeric value symmetry | symmetric |
| type | binary |
| structure | symmetric |
| Cholesky candidate? | no |
| positive definite? | no |
| author | H. Meyerhenke |
| editor | H. Meyerhenke |
| date | 2011 |
| kind | random undirected graph |
| 2D/3D problem? | no |
Notes:
DIMACS10 set: clustering/G_n_pin_pout
source: http://www.cc.gatech.edu/dimacs10/archive/clustering.shtml
This graph has been generated using a two-level Gnp random-graph
generator. First, each vertex chooses a cluster to belong to,
iid randomly. Then, in the spirit of the Erdos-Renyi model,
cluster-internal edges are created with a given internal
probability each, then cluster-external edges are created with a
smaller external probability each. The parameters for this
instance are: 100000 vertices, 316 clusters, the internal and
the external edge probability are chosen such that the expected
number of cluster-internal and the expected number of cluster-
external incidences of a node are both five. Such a graph is simple.
For references, details and a dynamic version see the project page:
http://i11www.iti.uni-karlsruhe.de/en/projects/spp1307/dyngen
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.