├── Example.ipynb ├── LICENSE.txt ├── README.md └── pysbm ├── LFR benchmark networks └── Hint.txt ├── Network Data ├── football │ └── football_hint.txt ├── football_corrected │ └── football_corrected_hint.txt ├── polblogs │ └── polblogs_hint.txt └── polbooks │ └── polbooks_hint.txt ├── UnitTests ├── LFR_benchmark_test_file │ ├── community_0_0.dat │ └── network_0_0.dat ├── _temp │ └── Hint.txt ├── test_ModelLikelihoodOfFlatMicrocanonicalDegreeCorrectedSbm.py ├── test_ModelLikelihoodOfHierarchicalMicrocanonicalDegreeCorrectedSbm.py ├── test_additional_types.py ├── test_hierarchical_inference.py ├── test_inference.py ├── test_model_selection.py ├── test_nxpartitiongraphbased.py ├── test_nxpartitiongraphbased_covariates.py ├── test_objective_function_iclex.py ├── test_objective_function_newman_group_size.py ├── test_objectivefunctions.py ├── test_partition.py ├── test_peixoto_hierarchical_sbm_tools.py ├── test_peixotos_flat_sbm.py ├── test_peixotos_hierarchical_sbm.py ├── test_test_ground.py └── test_test_ground_new.py ├── __init__.py ├── _temp └── Hint.txt ├── additional_types.py ├── parallel_execution.py ├── sbm ├── __init__.py ├── exceptions.py ├── hierarchical_inference.py ├── inference.py ├── model_selection.py ├── nxpartitiongraphbased.py ├── objective_function_iclex.py ├── objective_function_newman_group_size.py ├── objective_functions.py ├── partition.py ├── peixotos_flat_sbm.py ├── peixotos_flat_sbm_full.py ├── peixotos_hierarchical_sbm.py ├── peixotos_hierarchical_sbm_full.py ├── peixotos_hierarchical_sbm_tools.py └── peixotos_hierarchical_sbm_tools_full.py ├── test_ground.py └── test_ground_new.py /Example.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/funket/pysbm/HEAD/Example.ipynb -------------------------------------------------------------------------------- /LICENSE.txt: -------------------------------------------------------------------------------- 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