DIMACS10/G_n_pin_pout
DIMACS10 set: clustering/G_n_pin_pout
| Name |
G_n_pin_pout |
| Group |
DIMACS10 |
| Matrix ID |
2574 |
|
Num Rows
|
100,000 |
|
Num Cols
|
100,000 |
|
Nonzeros
|
1,002,396 |
|
Pattern Entries
|
1,002,396 |
|
Kind
|
Random Undirected Graph |
|
Symmetric
|
Yes |
|
Date
|
2011 |
|
Author
|
H. Meyerhenke |
|
Editor
|
H. Meyerhenke |
| Structural Rank |
|
| Structural Rank Full |
|
|
Num Dmperm Blocks
|
|
|
Strongly Connect Components
|
6 |
|
Num Explicit Zeros
|
0 |
|
Pattern Symmetry
|
100% |
|
Numeric Symmetry
|
100% |
|
Cholesky Candidate
|
no |
|
Positive Definite
|
no |
|
Type
|
binary |
| Download |
MATLAB
Rutherford Boeing
Matrix Market
|
| 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
|