- EA: Louvain Expansion Method Average (in particular: in EA_s communities are indexed by size and in EA_r are indexed randomly).
- EVM: Louvain Expansion Method Function F-.
- EVP: Louvain Expansion Method Function F+.
- MA: Louvain Multiobjective Method Average (in particular: in MA_s communities are indexed by size and in MA_r are indexed randomly).
- MVM: Louvain Multiobjective Method Function F-.
- MCP: Louvain Multiobjective Method Function F+.
From https://github.com/youweiliang/Multi-view\_Clustering
- adjacent_matrix_generator: creates a single-layer graph using the Stochastic Block Model.
- adjacent_matrix_generator_multi: creates a multi-layer graph for the informative case: each layer is informative. Each layer is created by the adjacent_matrix_generator.
- adjacent_matrix_generator_multi_r: creates a multi-layer graph for the noisy case: first layer noisy and all the other layers informative. Each layer is created by the adjacent_matrix_generator.
From https://github.com/melopeo/PM\_SSL/tree/master/realworld\_datasets\ P. Mercado, F. Tudisco, and M. Hein, Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs.
- confusion_matrix: calculates the confusion matrix. It is used in "wrong" function and input of "NMI" function.
- reindex_com: reindexes communities. It is used in "confusion_matrix" function.
- wrong: counts the number of nodes in the wrong community. It is used to calculate the Accuracy of a partition.
- NMI: calculates the Normalized Mutual Information (NMI) of a partition.
- run: tests each methods on artificial networks for the informative case.
- run_n: tests each methods on artificial networks for the noisy case.
- REAL: tests each methods on real datasets.
- REAL_n2: tests each methods on real datasets with noise (all informative layers + one noisy layer).
- REAL_n3: tests each methods on real datasets with noise (first layer sum of all the real layers, second layer is noise).
"Louvain-like Methods for Community Detection in Multi-Layer Networks" by Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco.
- Sara Venturini (e-mail: sara.venturini@math.unipd.it)
- Andrea Cristofari (e-mail: andrea.cristofari@unipd.it)
- Francesco Rinaldi (e-mail: rinaldi@math.unipd.it)
- Francesco Tudisco (e-mail: francesco.tudisco@gssi.it)