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 |