Matrix: DIMACS10/G_n_pin_pout
Description: DIMACS10 set: clustering/G_n_pin_pout
(undirected graph drawing) |
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
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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.