From: CDLIB: a python library to extract, compare and evaluate communities from complex networks
Name | Description |
---|---|
grid_execution | Instantiate the specified community discovery method performing a grid search on the parameter set. |
pool | Execute a pool of community discovery algorithms on the input graph. |
grid_search | Returns the optimal partition of the specified graph w.r.t. the selected algorithm and quality score performing an exaustive grid search on the parameter space. |
random_search | Returns the optimal partition of the specified graph w.r.t. the selected algorithm and quality score over a randomized sample of the parameters space. |
pool_grid_filter | Execute a pool of community discovery algorithms on the input graph and returns the optimal partition for each algorithm given the specified quality function. |