Index

A

accessibility_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] add_bipartite_block() (py3plex.algorithms.multilayer_algorithms.multixrank.MultiXRank method), [1] add_dummy_layers() (py3plex.core.multinet.multi_layer_network method), [1] add_edges() (py3plex.core.multinet.multi_layer_network method), [1] add_label() (py3plex.core.HINMINE.dataStructures.HeterogeneousInformationNetwork method), [1] add_mpx_edges() (in module py3plex.core.supporting), [1] add_multiplex() (py3plex.algorithms.multilayer_algorithms.multixrank.MultiXRank method), [1] add_nodes() (py3plex.core.multinet.multi_layer_network method), [1] add_sub_class() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1] ADJUST (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] adjustSpeedAndApplyForces() (in module py3plex.visualization.fa2.fa2util), [1] aggregate_edges() (py3plex.core.multinet.multi_layer_network method), [1] aggregate_layers() (in module py3plex.multinet.aggregation), [1]

aggregate_scores() (py3plex.algorithms.multilayer_algorithms.multixrank.MultiXRank method), [1] aggregate_sum() (in module py3plex.core.HINMINE.decomposition), [1] aggregate_to_node_level() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] aggregate_weighted_sum() (in module py3plex.core.HINMINE.decomposition), [1] algebraic_connectivity() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] AlgorithmError, [1] ALPHA (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] apply_attraction() (in module py3plex.visualization.fa2.fa2util), [1] apply_gravity() (in module py3plex.visualization.fa2.fa2util), [1] apply_repulsion() (in module py3plex.visualization.fa2.fa2util), [1] applyForce() (py3plex.visualization.fa2.fa2util.Region method), [1] applyForceOnNodes() (py3plex.visualization.fa2.fa2util.Region method), [1] authority_matrix() (in module py3plex.algorithms.node_ranking), [1] (in module py3plex.algorithms.node_ranking.node_ranking), [1]

B

basic_pl_stats() (in module py3plex.algorithms.statistics.topology), [1] basic_random_walk() (in module py3plex.algorithms.general.walkers), [1] basic_stats() (py3plex.core.multinet.multi_layer_network method), [1] BEAM_SIZE (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] benchmark() (in module py3plex.profiling), [1] benchmark_classification() (in module py3plex.algorithms.network_classification), [1] benchmark_node_classification() (in module py3plex.wrappers.benchmark_nodes), [1] best_partition() (in module py3plex.algorithms.community_detection.community_louvain), [1] bezier_calculate_dfy() (in module py3plex.visualization.bezier), [1] BinaryPredicate (class in py3plex.algorithms.hedwig.core.predicate), [1] bipartite_blocks (py3plex.algorithms.multilayer_algorithms.multixrank.MultiXRank attribute), [1]

bits_to_indices() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1] bottom_clause() (py3plex.algorithms.hedwig.learners.bottomup.BottomUpLearner method), [1] BottomUpLearner (class in py3plex.algorithms.hedwig.learners.bottomup), [1] bridging_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] build_graph() (in module py3plex.algorithms.hedwig), [1] build_occurrence_matrix() (in module py3plex.algorithms.multilayer_algorithms.entanglement), [1] build_supra_heterogeneous_matrix() (py3plex.algorithms.multilayer_algorithms.multixrank.MultiXRank method), [1] build_supra_modularity_matrix() (in module py3plex.algorithms.community_detection.multilayer_modularity), [1] buildSubRegions() (py3plex.visualization.fa2.fa2util.Region method), [1] built-in function discover_plugins()

C

calculate_decomposition_candidates() (py3plex.core.HINMINE.dataStructures.HeterogeneousInformationNetwork method), [1] calculate_importance_chi() (in module py3plex.core.HINMINE.decomposition), [1] calculate_importance_delta() (in module py3plex.core.HINMINE.decomposition), [1] calculate_importance_gr() (in module py3plex.core.HINMINE.decomposition), [1] calculate_importance_idf() (in module py3plex.core.HINMINE.decomposition), [1] calculate_importance_ig() (in module py3plex.core.HINMINE.decomposition), [1] calculate_importance_okapi() (in module py3plex.core.HINMINE.decomposition), [1] calculate_importance_rf() (in module py3plex.core.HINMINE.decomposition), [1] calculate_importance_tf() (in module py3plex.core.HINMINE.decomposition), [1] calculate_importance_w2w() (in module py3plex.core.HINMINE.decomposition), [1] calculate_importances() (in module py3plex.core.HINMINE.decomposition), [1] calculate_schema() (py3plex.core.HINMINE.dataStructures.HeterogeneousInformationNetwork method), [1] call_node2vec_binary() (in module py3plex.wrappers.train_node2vec_embedding), [1] can_specialize() (py3plex.algorithms.hedwig.learners.learner.Learner method), [1] CentralityComputationError, [1] chi_value() (in module py3plex.core.HINMINE.decomposition), [1] chisq() (in module py3plex.algorithms.hedwig.stats.scorefunctions), [1] Class (class in py3plex.core.HINMINE.dataStructures), [1] ClassLabeled (py3plex.algorithms.hedwig.core.example.Example attribute), [1] clear() (py3plex.profiling.PerformanceMonitor method), [1] clone() (py3plex.algorithms.hedwig.core.rule.Rule method), [1] clone_append() (py3plex.algorithms.hedwig.core.rule.Rule method), [1] clone_negate() (py3plex.algorithms.hedwig.core.rule.Rule method), [1] clone_swap_with_subclass() (py3plex.algorithms.hedwig.core.rule.Rule method), [1] cmd_aggregate() (in module py3plex.cli), [1] cmd_centrality() (in module py3plex.cli), [1] cmd_check() (in module py3plex.cli), [1] cmd_community() (in module py3plex.cli), [1] cmd_convert() (in module py3plex.cli), [1] cmd_create() (in module py3plex.cli), [1] cmd_help() (in module py3plex.cli), [1] cmd_load() (in module py3plex.cli), [1] cmd_quickstart() (in module py3plex.cli), [1] cmd_run_config() (in module py3plex.cli), [1] cmd_selftest() (in module py3plex.cli), [1]

cmd_stats() (in module py3plex.cli), [1] cmd_visualize() (in module py3plex.cli), [1] collective_influence() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] color_dict() (in module py3plex.visualization.colors), [1] column_normalize() (py3plex.algorithms.multilayer_algorithms.multixrank.MultiXRank method), [1] communicability_betweenness_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] communicability_centrality() (in module py3plex.algorithms.multilayer_algorithms.centrality), [1] (in module py3plex.algorithms.multilayer_algorithms.supra_matrix_function_centrality), [1], [2] community_participation_coefficient() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] community_participation_entropy() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] CommunityDetectionError, [1] compute_all_centralities() (in module py3plex.algorithms.multilayer_algorithms.centrality), [1] compute_blocks() (in module py3plex.algorithms.multilayer_algorithms.entanglement), [1] compute_entanglement() (in module py3plex.algorithms.multilayer_algorithms.entanglement), [1] compute_entanglement_analysis() (in module py3plex.algorithms.multilayer_algorithms.entanglement), [1] compute_force_directed_layout() (in module py3plex.visualization.layout_algorithms), [1] compute_layout() (in module py3plex.core.converters), [1] compute_modularity_score() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] compute_ollivier_ricci() (py3plex.core.multinet.multi_layer_network method), [1] compute_ollivier_ricci_flow() (py3plex.core.multinet.multi_layer_network method), [1] compute_random_layout() (in module py3plex.visualization.layout_algorithms), [1] ConversionError, [1] convert_mapping_to_rdf() (in module py3plex.algorithms.hedwig.core.converters), [1] copy() (py3plex.algorithms.community_detection.community_louvain.Status method), [1] core_network_statistics() (in module py3plex.algorithms.statistics.basic_statistics), [1] correlated_ttest() (in module py3plex.algorithms.statistics.bayesiantests), [1] correlated_ttest_MC() (in module py3plex.algorithms.statistics.bayesiantests), [1] COVERED (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] create_label_matrix() (py3plex.core.HINMINE.dataStructures.HeterogeneousInformationNetwork method), [1] create_parser() (in module py3plex.cli), [1] create_tree() (in module py3plex.algorithms.community_detection.community_ranking), [1] cross_layer_mutual_information() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] cross_layer_redundancy_entropy() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] current_flow_betweenness_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] current_flow_closeness_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1]

D

damping_hyper (in module py3plex.algorithms.node_ranking), [1] decompose_from_iterator() (py3plex.core.HINMINE.dataStructures.HeterogeneousInformationNetwork method), [1] DecompositionError, [1] Default (py3plex.algorithms.hedwig.learners.bottomup.BottomUpLearner attribute), [1] (py3plex.algorithms.hedwig.learners.learner.Learner attribute), [1] default_correlation_to_network() (in module py3plex.algorithms.statistics.correlation_networks), [1] Defaults (class in py3plex.algorithms.hedwig.core.settings), [1] degree_vector() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] degrees (py3plex.algorithms.community_detection.community_louvain.Status attribute), [1] deprecated() (in module py3plex.utils), [1] DEPTH (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] discover_plugins() built-in function display() (py3plex.visualization.fa2.forceatlas2.Timer method), [1] draw() (in module py3plex.visualization.drawing_machinery), [1]

draw_bezier() (in module py3plex.visualization.bezier), [1] draw_circular() (in module py3plex.visualization.drawing_machinery), [1] draw_kamada_kawai() (in module py3plex.visualization.drawing_machinery), [1] draw_multiedges() (in module py3plex.visualization.multilayer), [1] draw_multilayer_default() (in module py3plex.visualization.multilayer), [1] draw_multilayer_flow() (in module py3plex.visualization.multilayer), [1] draw_multilayer_sankey() (in module py3plex.visualization.sankey), [1] draw_networkx() (in module py3plex.visualization.drawing_machinery), [1] draw_networkx_edge_labels() (in module py3plex.visualization.drawing_machinery), [1] draw_networkx_edges() (in module py3plex.visualization.drawing_machinery), [1] draw_networkx_labels() (in module py3plex.visualization.drawing_machinery), [1] draw_networkx_nodes() (in module py3plex.visualization.drawing_machinery), [1] draw_random() (in module py3plex.visualization.drawing_machinery), [1] draw_shell() (in module py3plex.visualization.drawing_machinery), [1] draw_spectral() (in module py3plex.visualization.drawing_machinery), [1] draw_spring() (in module py3plex.visualization.drawing_machinery), [1]

E

Edge (class in py3plex.visualization.fa2.fa2util), [1] edge_betweenness_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] edge_overlap() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] edges_from_temporal_table() (py3plex.core.multinet.multi_layer_network method), [1] EmbeddingError, [1] enabled (py3plex.profiling.PerformanceMonitor attribute), [1] enrichment_score() (in module py3plex.algorithms.hedwig.stats.scorefunctions), [1] ensure() (in module py3plex.algorithms.multicentrality), [1] (in module py3plex.algorithms.statistics.basic_statistics), [1] (in module py3plex.core.converters), [1] (in module py3plex.core.multinet), [1] (in module py3plex.core.nx_compat), [1] (in module py3plex.core.parsers), [1] (in module py3plex.core.random_generators), [1] (in module py3plex.core.supporting), [1] (in module py3plex.io.api), [1] (in module py3plex.multinet.aggregation), [1] (in module py3plex.utils), [1] (in module py3plex.visualization.layout_algorithms), [1]

entropy_of_multiplexity() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] epsilon (py3plex.algorithms.multilayer_algorithms.multixrank.MultiXRank attribute), [1] evaluate_oracle_F1() (in module py3plex.algorithms.general.benchmark_classification), [1] Example (class in py3plex.algorithms.hedwig.core.example), [1] examples() (py3plex.algorithms.hedwig.core.rule.Rule method), [1] ExperimentKB (class in py3plex.algorithms.hedwig.core.kb), [1] extend() (py3plex.algorithms.hedwig.learners.learner.Learner method), [1] extend_replace_worst() (py3plex.algorithms.hedwig.learners.learner.Learner method), [1] extend_with_similarity() (py3plex.algorithms.hedwig.learners.learner.Learner method), [1] ExternalToolError, [1]

F

FDR_Q (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] fill_tmp_with_edges() (py3plex.core.multinet.multi_layer_network method), [1] flow_betweenness_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] ForceAtlas2 (class in py3plex.visualization.fa2.forceatlas2), [1] forceatlas2() (py3plex.visualization.fa2.forceatlas2.ForceAtlas2 method), [1]

forceatlas2_igraph_layout() (py3plex.visualization.fa2.forceatlas2.ForceAtlas2 method), [1] forceatlas2_networkx_layout() (py3plex.visualization.fa2.forceatlas2.ForceAtlas2 method), [1] FORMAT (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] from_homogeneous_hypergraph() (py3plex.core.multinet.multi_layer_network method), [1] from_networkx() (py3plex.core.multinet.multi_layer_network class method), [1]

G

gdegrees (py3plex.algorithms.community_detection.community_louvain.Status attribute), [1] general_random_walk() (in module py3plex.algorithms.general.walkers), [1] generate_coupled_er_multilayer() (in module py3plex.algorithms.community_detection.multilayer_benchmark), [1] generate_dendrogram() (in module py3plex.algorithms.community_detection.community_louvain), [1] generate_multilayer_lfr() (in module py3plex.algorithms.community_detection.multilayer_benchmark), [1] generate_random_multiedges() (in module py3plex.visualization.multilayer), [1] generate_random_networks() (in module py3plex.visualization.multilayer), [1] generate_rules_report() (in module py3plex.algorithms.hedwig), [1] generate_sbm_multilayer() (in module py3plex.algorithms.community_detection.multilayer_benchmark), [1] generate_walks() (in module py3plex.algorithms.general.walkers), [1] generic_grouping() (in module py3plex.visualization.benchmark_visualizations), [1] get() (PluginRegistry method) get_aggregation_method() (in module py3plex.core.HINMINE.decomposition), [1] get_background_knowledge_dir() (in module py3plex.utils), [1] get_background_knowledge_path() (in module py3plex.utils), [1] get_calculation_method() (in module py3plex.core.HINMINE.decomposition), [1] get_color_palette() (in module py3plex.config), [1] get_data_path() (in module py3plex.utils), [1] get_dataset_path() (in module py3plex.utils), [1] get_decomposition() (py3plex.core.multinet.multi_layer_network method), [1] get_decomposition_cycles() (py3plex.core.multinet.multi_layer_network method), [1] get_degrees() (py3plex.core.multinet.multi_layer_network method), [1] get_domains() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1] get_edges() (py3plex.core.multinet.multi_layer_network method), [1] get_empty_domain() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1] get_example_image_path() (in module py3plex.utils), [1] get_examples() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1]

get_full_domain() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1] get_label_matrix() (py3plex.core.multinet.multi_layer_network method), [1] get_layers() (py3plex.core.multinet.multi_layer_network method), [1] get_logger() (in module py3plex.logging_config), [1] get_members() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1] get_monitor() (in module py3plex.profiling), [1] get_multilayer_dataset_path() (in module py3plex.utils), [1] get_neighbors() (py3plex.core.multinet.multi_layer_network method), [1] get_nodes() (py3plex.core.multinet.multi_layer_network method), [1] get_nx_object() (py3plex.core.multinet.multi_layer_network method), [1] get_plugin_info() (PluginRegistry method) get_report() (py3plex.profiling.PerformanceMonitor method), [1] get_reverse_members() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1] get_rng() (in module py3plex.utils), [1] get_root() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1] get_score() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1] get_subclasses() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1] (py3plex.algorithms.hedwig.learners.bottomup.BottomUpLearner method), [1] (py3plex.algorithms.hedwig.learners.learner.Learner method), [1] get_superclasses() (py3plex.algorithms.hedwig.learners.bottomup.BottomUpLearner method), [1] (py3plex.algorithms.hedwig.learners.learner.Learner method), [1] get_supra_adjacency_matrix() (py3plex.core.multinet.multi_layer_network method), [1] get_tensor() (py3plex.core.multinet.multi_layer_network method), [1] get_top_ranked() (py3plex.algorithms.multilayer_algorithms.multixrank.MultiXRank method), [1] get_unique_entity_counts() (py3plex.core.multinet.multi_layer_network method), [1] gr_value() (in module py3plex.core.HINMINE.decomposition), [1] group_score() (py3plex.algorithms.hedwig.learners.learner.Learner method), [1]

H

hairball_plot() (in module py3plex.visualization.multilayer), [1] harmonic_closeness_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] heaviside() (in module py3plex.algorithms.statistics.bayesiantests), [1] HeterogeneousInformationNetwork (class in py3plex.core.HINMINE.dataStructures), [1] hex_to_RGB() (in module py3plex.visualization.colors), [1] hierarchical() (in module py3plex.algorithms.statistics.bayesiantests), [1] hierarchical_MC() (in module py3plex.algorithms.statistics.bayesiantests), [1]

hinmine_decompose() (in module py3plex.core.HINMINE.decomposition), [1] hinmine_get_cycles() (in module py3plex.core.HINMINE.decomposition), [1] hits_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] hub_matrix() (in module py3plex.algorithms.node_ranking), [1] (in module py3plex.algorithms.node_ranking.node_ranking), [1] hubs_and_authorities() (in module py3plex.algorithms.node_ranking), [1] (in module py3plex.algorithms.node_ranking.node_ranking), [1]

I

i (py3plex.algorithms.hedwig.core.predicate.Predicate attribute), [1] identify_n_hubs() (in module py3plex.algorithms.statistics.basic_statistics), [1] ig_value() (in module py3plex.core.HINMINE.decomposition), [1] Improvement (py3plex.algorithms.hedwig.learners.bottomup.BottomUpLearner attribute), [1] (py3plex.algorithms.hedwig.learners.learner.Learner attribute), [1] IncompatibleNetworkError, [1] indices_to_bits() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1] induce() (py3plex.algorithms.hedwig.learners.bottomup.BottomUpLearner method), [1] (py3plex.algorithms.hedwig.learners.learner.Learner method), [1] (py3plex.algorithms.hedwig.learners.optimal.OptimalLearner method), [1] induced_graph() (in module py3plex.algorithms.community_detection.community_louvain), [1] infomap_communities() (in module py3plex.algorithms.community_detection.community_wrapper), [1] information_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] init() (py3plex.algorithms.community_detection.community_louvain.Status method), [1] (py3plex.visualization.fa2.forceatlas2.ForceAtlas2 method), [1] inter_layer_assortativity() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] inter_layer_coupling_strength() (in module py3plex.algorithms.statistics.multilayer_statistics), [1]

inter_layer_degree_correlation() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] inter_layer_dependence_entropy() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] interactive_diagonal_plot() (in module py3plex.visualization.multilayer), [1] interactive_hairball_plot() (in module py3plex.visualization.multilayer), [1] interdependence() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] interesting() (in module py3plex.algorithms.hedwig.stats.scorefunctions), [1] interlayer_degree_correlation_matrix() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] internals (py3plex.algorithms.community_detection.community_louvain.Status attribute), [1] InvalidEdgeError, [1] InvalidLayerError, [1] InvalidNodeError, [1] invariant() (in module py3plex.core.multinet), [1] invert() (py3plex.core.multinet.multi_layer_network method), [1] is_discrete_target() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1] is_implicit_root() (py3plex.algorithms.hedwig.learners.bottomup.BottomUpLearner method), [1] (py3plex.algorithms.hedwig.learners.learner.Learner method), [1] is_string_like() (in module py3plex.core.nx_compat), [1]

K

kaplan_meier_AUC() (in module py3plex.algorithms.hedwig.stats.scorefunctions), [1] katz_bonacich_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1]

katz_centrality() (in module py3plex.algorithms.multilayer_algorithms.centrality), [1] (in module py3plex.algorithms.multilayer_algorithms.supra_matrix_function_centrality), [1], [2]

L

label_propagation() (in module py3plex.algorithms.network_classification), [1] label_propagation_normalization() (in module py3plex.algorithms.network_classification), [1] label_propagation_tf() (in module py3plex.algorithms.network_classification), [1] layer_connectivity_entropy() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] layer_degree_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] layer_density() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] layer_influence_centrality() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] layer_redundancy_coefficient() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] layer_similarity() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] layer_specific_random_walk() (in module py3plex.algorithms.general.walkers), [1] learn_embedding() (in module py3plex.wrappers.train_node2vec_embedding), [1] Learner (class in py3plex.algorithms.hedwig.learners.learner), [1] LEARNER (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] LEAVES (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] leverage() (in module py3plex.algorithms.hedwig.stats.scorefunctions), [1] lift() (in module py3plex.algorithms.hedwig.stats.scorefunctions), [1] linAttraction() (in module py3plex.visualization.fa2.fa2util), [1] linear_gradient() (in module py3plex.visualization.colors), [1]

linGravity() (in module py3plex.visualization.fa2.fa2util), [1] linRepulsion() (in module py3plex.visualization.fa2.fa2util), [1] linRepulsion_region() (in module py3plex.visualization.fa2.fa2util), [1] list_plugins() (PluginRegistry method) load_binary() (in module py3plex.algorithms.community_detection.community_louvain), [1] load_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] load_edge_activity_file() (in module py3plex.core.parsers), [1] load_edge_activity_raw() (in module py3plex.core.parsers), [1] load_embedding() (py3plex.core.multinet.multi_layer_network method), [1] load_hinmine_object() (in module py3plex.core.HINMINE.IO), [1] load_layer_name_mapping() (py3plex.core.multinet.multi_layer_network method), [1] load_network() (py3plex.core.multinet.multi_layer_network method), [1] load_network_activity() (py3plex.core.multinet.multi_layer_network method), [1] load_temporal_edge_information() (in module py3plex.core.parsers), [1] (py3plex.core.multinet.multi_layer_network method), [1] local_efficiency_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] louvain_communities() (in module py3plex.algorithms.community_detection.community_wrapper), [1] louvain_multilayer() (in module py3plex.algorithms.community_detection.multilayer_modularity), [1] lp_aggregated_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1]

M

main() (in module py3plex.cli), [1] (in module py3plex.wrappers.benchmark_nodes), [1] max_iter (py3plex.algorithms.multilayer_algorithms.multixrank.MultiXRank attribute), [1] merge_with() (py3plex.core.multinet.multi_layer_network method), [1] midpoint_generator() (py3plex.core.HINMINE.dataStructures.HeterogeneousInformationNetwork method), [1] MODE (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] modularity() (in module py3plex.algorithms.community_detection.community_louvain), [1] (in module py3plex.algorithms.community_detection.community_measures), [1] (in module py3plex.algorithms.node_ranking.node_ranking), [1] module py3plex.algorithms.community_detection.community_louvain, [1] py3plex.algorithms.community_detection.community_measures, [1] py3plex.algorithms.community_detection.community_ranking, [1] py3plex.algorithms.community_detection.community_wrapper, [1] py3plex.algorithms.community_detection.multilayer_benchmark, [1] py3plex.algorithms.community_detection.multilayer_modularity, [1] py3plex.algorithms.community_detection.NoRC, [1] py3plex.algorithms.general.benchmark_classification, [1] py3plex.algorithms.general.walkers, [1] py3plex.algorithms.hedwig, [1] py3plex.algorithms.hedwig.core.converters, [1] py3plex.algorithms.hedwig.core.example, [1] py3plex.algorithms.hedwig.core.kb, [1] py3plex.algorithms.hedwig.core.predicate, [1] py3plex.algorithms.hedwig.core.rule, [1] py3plex.algorithms.hedwig.core.settings, [1] py3plex.algorithms.hedwig.learners.bottomup, [1] py3plex.algorithms.hedwig.learners.learner, [1] py3plex.algorithms.hedwig.learners.optimal, [1] py3plex.algorithms.hedwig.stats.scorefunctions, [1] py3plex.algorithms.hedwig.stats.validate, [1] py3plex.algorithms.multicentrality, [1] py3plex.algorithms.multilayer_algorithms.centrality, [1] py3plex.algorithms.multilayer_algorithms.entanglement, [1] py3plex.algorithms.multilayer_algorithms.multixrank, [1] py3plex.algorithms.multilayer_algorithms.supra_matrix_function_centrality, [1] py3plex.algorithms.network_classification, [1] py3plex.algorithms.node_ranking, [1] py3plex.algorithms.node_ranking.node_ranking, [1] py3plex.algorithms.statistics.basic_statistics, [1] py3plex.algorithms.statistics.bayesiantests, [1] py3plex.algorithms.statistics.correlation_networks, [1] py3plex.algorithms.statistics.enrichment, [1] py3plex.algorithms.statistics.multilayer_statistics, [1] py3plex.algorithms.statistics.topology, [1] py3plex.cli, [1] py3plex.config, [1] py3plex.core.converters, [1] py3plex.core.HINMINE.dataStructures, [1] py3plex.core.HINMINE.decomposition, [1] py3plex.core.HINMINE.IO, [1] py3plex.core.multinet, [1] py3plex.core.nx_compat, [1] py3plex.core.parsers, [1] py3plex.core.random_generators, [1] py3plex.core.supporting, [1] py3plex.exceptions, [1] py3plex.io.api, [1] py3plex.logging_config, [1] py3plex.multinet.aggregation, [1] py3plex.profiling, [1] py3plex.utils, [1] py3plex.validation, [1] py3plex.visualization.benchmark_visualizations, [1] py3plex.visualization.bezier, [1] py3plex.visualization.colors, [1] py3plex.visualization.drawing_machinery, [1] py3plex.visualization.embedding_visualization.embedding_visualization, [1] py3plex.visualization.fa2.fa2util, [1] py3plex.visualization.fa2.forceatlas2, [1] py3plex.visualization.layout_algorithms, [1] py3plex.visualization.multilayer, [1] py3plex.visualization.sankey, [1] py3plex.wrappers.benchmark_nodes, [1] py3plex.wrappers.train_node2vec_embedding, [1]

monitor() (py3plex.core.multinet.multi_layer_network method), [1] monoplex_nx_wrapper() (py3plex.core.multinet.multi_layer_network method), [1] multi_layer_network (class in py3plex.core.multinet), [1] multilayer_betweenness_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] multilayer_betweenness_surface() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] multilayer_closeness_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] multilayer_clustering_coefficient() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] multilayer_modularity() (in module py3plex.algorithms.community_detection.multilayer_modularity), [1] (in module py3plex.algorithms.statistics.multilayer_statistics), [1] multilayer_motif_frequency() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] MultilayerCentrality (class in py3plex.algorithms.multilayer_algorithms.centrality), [1] multiplex_betweenness_centrality() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] multiplex_closeness_centrality() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] multiplex_coreness() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] multiplex_eigenvector_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] multiplex_eigenvector_versatility() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] multiplex_k_core() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] multiplex_participation_coefficient() (in module py3plex.algorithms.multicentrality), [1] multiplex_rich_club_coefficient() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] multiplexes (py3plex.algorithms.multilayer_algorithms.multixrank.MultiXRank attribute), [1] MultiXRank (class in py3plex.algorithms.multilayer_algorithms.multixrank), [1] multixrank_from_py3plex_networks() (in module py3plex.algorithms.multilayer_algorithms.multixrank), [1]

N

n2v_embedding() (in module py3plex.wrappers.train_node2vec_embedding), [1] n_examples() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1] n_members() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1] NEGATIONS (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] NetworkConstructionError, [1] NO_CACHE (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] Node (class in py3plex.visualization.fa2.fa2util), [1] node2com (py3plex.algorithms.community_detection.community_louvain.Status attribute), [1] node2vec_walk() (in module py3plex.algorithms.general.walkers), [1] node_activity() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] node_order (py3plex.algorithms.multilayer_algorithms.multixrank.MultiXRank attribute), [1] non_redundant() (py3plex.algorithms.hedwig.learners.learner.Learner method), [1]

NoRC_communities() (in module py3plex.algorithms.community_detection.community_wrapper), [1] NoRC_communities_main() (in module py3plex.algorithms.community_detection.NoRC), [1] normalize_amplify_freq() (in module py3plex.algorithms.network_classification), [1] normalize_exp() (in module py3plex.algorithms.network_classification), [1] normalize_initial_matrix_freq() (in module py3plex.algorithms.network_classification), [1] np_calculate_importance_chi() (in module py3plex.core.HINMINE.decomposition), [1] np_calculate_importance_tf() (in module py3plex.core.HINMINE.decomposition), [1] number_of_communities() (in module py3plex.algorithms.community_detection.community_measures), [1] nx_from_scipy_sparse_matrix() (in module py3plex.core.nx_compat), [1] nx_info() (in module py3plex.core.nx_compat), [1] nx_read_gpickle() (in module py3plex.core.nx_compat), [1] nx_to_scipy_sparse_matrix() (in module py3plex.core.nx_compat), [1] nx_write_gpickle() (in module py3plex.core.nx_compat), [1]

O

obo2n3() (in module py3plex.algorithms.hedwig.core.converters), [1] onclick() (in module py3plex.visualization.multilayer), [1] OPTIMAL_SUBCLASS (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1]

OptimalLearner (class in py3plex.algorithms.hedwig.learners.optimal), [1] OUTPUT (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] overlapping_degree_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1]

P

page_rank_kernel() (in module py3plex.algorithms.community_detection.community_ranking), [1] (in module py3plex.algorithms.community_detection.NoRC), [1] (in module py3plex.algorithms.node_ranking), [1] (in module py3plex.algorithms.node_ranking.node_ranking), [1] pagerank_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] parse_detangler_json() (in module py3plex.core.parsers), [1] parse_edgelist_multi_types() (in module py3plex.core.parsers), [1] parse_embedding() (in module py3plex.core.parsers), [1] parse_gaf_to_uniprot_GO() (in module py3plex.core.supporting), [1] parse_gml() (in module py3plex.core.parsers), [1] parse_gpickle() (in module py3plex.core.parsers), [1] parse_gpickle_biomine() (in module py3plex.core.parsers), [1] parse_infomap() (in module py3plex.algorithms.community_detection.community_wrapper), [1] parse_matrix() (in module py3plex.core.parsers), [1] parse_matrix_to_nx() (in module py3plex.core.parsers), [1] parse_multi_edgelist() (in module py3plex.core.parsers), [1] parse_multiedge_tuple_list() (in module py3plex.core.parsers), [1] parse_multiplex_edges() (in module py3plex.core.parsers), [1] parse_multiplex_folder() (in module py3plex.core.parsers), [1] parse_network() (in module py3plex.core.parsers), [1] parse_nx() (in module py3plex.core.parsers), [1] parse_simple_edgelist() (in module py3plex.core.parsers), [1] parse_spin_edgelist() (in module py3plex.core.parsers), [1] ParsingError, [1] participation_coefficient() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] partition_at_level() (in module py3plex.algorithms.community_detection.community_louvain), [1] percolation_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] percolation_threshold() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] PerformanceMonitor (class in py3plex.profiling), [1] pick_threshold() (in module py3plex.algorithms.statistics.correlation_networks), [1] plot_core_macro() (in module py3plex.visualization.benchmark_visualizations), [1] plot_core_macro_box() (in module py3plex.visualization.benchmark_visualizations), [1] plot_core_macro_gg() (in module py3plex.visualization.benchmark_visualizations), [1] plot_core_micro() (in module py3plex.visualization.benchmark_visualizations), [1] plot_core_micro_gg() (in module py3plex.visualization.benchmark_visualizations), [1] plot_core_micro_grid() (in module py3plex.visualization.benchmark_visualizations), [1] plot_core_time() (in module py3plex.visualization.benchmark_visualizations), [1] plot_core_time_gg() (in module py3plex.visualization.benchmark_visualizations), [1] plot_core_variability() (in module py3plex.visualization.benchmark_visualizations), [1] plot_critical_distance() (in module py3plex.visualization.benchmark_visualizations), [1] plot_edge_colored_projection() (in module py3plex.visualization.multilayer), [1] plot_ego_multilayer() (in module py3plex.visualization.multilayer), [1] plot_mean_times() (in module py3plex.visualization.benchmark_visualizations), [1] plot_posterior() (in module py3plex.algorithms.statistics.bayesiantests), [1] plot_power_law() (in module py3plex.algorithms.statistics.topology), [1] plot_radial_layers() (in module py3plex.visualization.multilayer), [1] plot_robustness() (in module py3plex.visualization.benchmark_visualizations), [1] plot_simplex() (in module py3plex.algorithms.statistics.bayesiantests), [1] plot_small_multiples() (in module py3plex.visualization.multilayer), [1] plot_supra_adjacency_heatmap() (in module py3plex.visualization.multilayer), [1] PluginRegistry (built-in class) positives (py3plex.algorithms.hedwig.core.rule.Rule property), [1] precision() (in module py3plex.algorithms.hedwig.stats.scorefunctions), [1] (py3plex.algorithms.hedwig.core.rule.Rule method), [1] Predicate (class in py3plex.algorithms.hedwig.core.predicate), [1] predict() (py3plex.wrappers.benchmark_nodes.TopKRanker method), [1] prepare_for_parsing() (in module py3plex.core.converters), [1] prepare_for_visualization() (in module py3plex.core.converters), [1] prepare_for_visualization_hairball() (in module py3plex.core.converters), [1] process_network() (py3plex.core.HINMINE.dataStructures.HeterogeneousInformationNetwork method), [1] profile_performance() (in module py3plex.profiling), [1] py3plex.algorithms.community_detection.community_louvain module, [1] py3plex.algorithms.community_detection.community_measures module, [1] py3plex.algorithms.community_detection.community_ranking module, [1] py3plex.algorithms.community_detection.community_wrapper module, [1] py3plex.algorithms.community_detection.multilayer_benchmark module, [1] py3plex.algorithms.community_detection.multilayer_modularity module, [1] py3plex.algorithms.community_detection.NoRC module, [1] py3plex.algorithms.general.benchmark_classification module, [1] py3plex.algorithms.general.walkers module, [1] py3plex.algorithms.hedwig module, [1] py3plex.algorithms.hedwig.core.converters module, [1] py3plex.algorithms.hedwig.core.example module, [1] py3plex.algorithms.hedwig.core.kb module, [1] py3plex.algorithms.hedwig.core.predicate module, [1] py3plex.algorithms.hedwig.core.rule module, [1] py3plex.algorithms.hedwig.core.settings module, [1] py3plex.algorithms.hedwig.learners.bottomup module, [1] py3plex.algorithms.hedwig.learners.learner module, [1] py3plex.algorithms.hedwig.learners.optimal module, [1]

py3plex.algorithms.hedwig.stats.scorefunctions module, [1] py3plex.algorithms.hedwig.stats.validate module, [1] py3plex.algorithms.multicentrality module, [1] py3plex.algorithms.multilayer_algorithms.centrality module, [1] py3plex.algorithms.multilayer_algorithms.entanglement module, [1] py3plex.algorithms.multilayer_algorithms.multixrank module, [1] py3plex.algorithms.multilayer_algorithms.supra_matrix_function_centrality module, [1] py3plex.algorithms.network_classification module, [1] py3plex.algorithms.node_ranking module, [1] py3plex.algorithms.node_ranking.node_ranking module, [1] py3plex.algorithms.statistics.basic_statistics module, [1] py3plex.algorithms.statistics.bayesiantests module, [1] py3plex.algorithms.statistics.correlation_networks module, [1] py3plex.algorithms.statistics.enrichment module, [1] py3plex.algorithms.statistics.multilayer_statistics module, [1] py3plex.algorithms.statistics.topology module, [1] py3plex.cli module, [1] py3plex.config module, [1] py3plex.core.converters module, [1] py3plex.core.HINMINE.dataStructures module, [1] py3plex.core.HINMINE.decomposition module, [1] py3plex.core.HINMINE.IO module, [1] py3plex.core.multinet module, [1] py3plex.core.nx_compat module, [1] py3plex.core.parsers module, [1] py3plex.core.random_generators module, [1] py3plex.core.supporting module, [1] py3plex.exceptions module, [1] py3plex.io.api module, [1] py3plex.logging_config module, [1] py3plex.multinet.aggregation module, [1] py3plex.profiling module, [1] py3plex.utils module, [1] py3plex.validation module, [1] py3plex.visualization.benchmark_visualizations module, [1] py3plex.visualization.bezier module, [1] py3plex.visualization.colors module, [1] py3plex.visualization.drawing_machinery module, [1] py3plex.visualization.embedding_visualization.embedding_visualization module, [1] py3plex.visualization.fa2.fa2util module, [1] py3plex.visualization.fa2.forceatlas2 module, [1] py3plex.visualization.layout_algorithms module, [1] py3plex.visualization.multilayer module, [1] py3plex.visualization.sankey module, [1] py3plex.wrappers.benchmark_nodes module, [1] py3plex.wrappers.train_node2vec_embedding module, [1] Py3plexException, [1] Py3plexFormatError, [1] Py3plexIOError, [1] Py3plexLayoutError, [1] Py3plexMatrixError, [1]

R

random_multilayer_ER() (in module py3plex.core.random_generators), [1] random_multiplex_ER() (in module py3plex.core.random_generators), [1] random_multiplex_generator() (in module py3plex.core.random_generators), [1] random_walk_with_restart() (py3plex.algorithms.multilayer_algorithms.multixrank.MultiXRank method), [1] Ranked (py3plex.algorithms.hedwig.core.example.Example attribute), [1] read() (in module py3plex.io.api), [1] read_ground_truth_communities() (py3plex.core.multinet.multi_layer_network method), [1] record() (py3plex.profiling.PerformanceMonitor method), [1] Region (class in py3plex.visualization.fa2.fa2util), [1] register_plugin() (PluginRegistry method) register_reader() (in module py3plex.io.api), [1] register_writer() (in module py3plex.io.api), [1] remove_edges() (py3plex.core.multinet.multi_layer_network method), [1] remove_layer_edges() (py3plex.core.multinet.multi_layer_network method), [1] remove_nodes() (py3plex.core.multinet.multi_layer_network method), [1] require() (in module py3plex.algorithms.multicentrality), [1] (in module py3plex.algorithms.statistics.basic_statistics), [1] (in module py3plex.core.converters), [1] (in module py3plex.core.multinet), [1] (in module py3plex.core.nx_compat), [1] (in module py3plex.core.parsers), [1] (in module py3plex.core.random_generators), [1] (in module py3plex.core.supporting), [1] (in module py3plex.io.api), [1] (in module py3plex.multinet.aggregation), [1] (in module py3plex.utils), [1] (in module py3plex.visualization.layout_algorithms), [1]

reset() (PluginRegistry class method) reset_to_defaults() (in module py3plex.config), [1] resilience() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] restart_prob (py3plex.algorithms.multilayer_algorithms.multixrank.MultiXRank attribute), [1] return_infomap_communities() (in module py3plex.algorithms.community_detection.community_ranking), [1] rf_value() (in module py3plex.core.HINMINE.decomposition), [1] RGB_to_hex() (in module py3plex.visualization.colors), [1] Rule (class in py3plex.algorithms.hedwig.core.rule), [1] rule_kernel() (in module py3plex.algorithms.hedwig), [1] rule_report() (py3plex.algorithms.hedwig.core.rule.Rule method), [1] ruleset_examples_json() (py3plex.algorithms.hedwig.core.rule.Rule static method), [1] ruleset_report() (py3plex.algorithms.hedwig.core.rule.Rule static method), [1] run() (in module py3plex.algorithms.hedwig), [1] run_infomap() (in module py3plex.algorithms.community_detection.community_wrapper), [1] run_learner() (in module py3plex.algorithms.hedwig), [1] run_PPR() (in module py3plex.algorithms.node_ranking), [1]

S

save_edgelist() (in module py3plex.core.parsers), [1] save_gpickle() (in module py3plex.core.parsers), [1] save_multiedgelist() (in module py3plex.core.parsers), [1] save_network() (py3plex.core.multinet.multi_layer_network method), [1] SCORE (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] serialize_to_edgelist() (py3plex.core.multinet.multi_layer_network method), [1] set_partial_fit_request() (py3plex.wrappers.benchmark_nodes.TopKRanker method), [1] set_predict_request() (py3plex.wrappers.benchmark_nodes.TopKRanker method), [1] set_score_request() (py3plex.wrappers.benchmark_nodes.TopKRanker method), [1] setup_logging() (in module py3plex.logging_config), [1] signrank() (in module py3plex.algorithms.statistics.bayesiantests), [1] signrank_MC() (in module py3plex.algorithms.statistics.bayesiantests), [1] signtest() (in module py3plex.algorithms.statistics.bayesiantests), [1] signtest_MC() (in module py3plex.algorithms.statistics.bayesiantests), [1] Similarity (py3plex.algorithms.hedwig.learners.bottomup.BottomUpLearner attribute), [1] (py3plex.algorithms.hedwig.learners.learner.Learner attribute), [1] similarity() (py3plex.algorithms.hedwig.core.rule.Rule method), [1] size() (py3plex.algorithms.hedwig.core.rule.Rule method), [1] size_distribution() (in module py3plex.algorithms.community_detection.community_measures), [1] sparse2graph() (in module py3plex.wrappers.benchmark_nodes), [1] sparse_page_rank() (in module py3plex.algorithms.node_ranking), [1] (in module py3plex.algorithms.node_ranking.node_ranking), [1] sparse_to_px() (py3plex.core.multinet.multi_layer_network method), [1] specialize() (py3plex.algorithms.hedwig.learners.learner.Learner method), [1] specialize_add_relation() (py3plex.algorithms.hedwig.learners.learner.Learner method), [1]

split_to_indices() (py3plex.core.HINMINE.dataStructures.HeterogeneousInformationNetwork method), [1] split_to_layers() (in module py3plex.core.supporting), [1] (py3plex.core.multinet.multi_layer_network method), [1] split_to_parts() (py3plex.core.HINMINE.dataStructures.HeterogeneousInformationNetwork method), [1] spread_percent_hyper (in module py3plex.algorithms.node_ranking), [1] spread_step_hyper (in module py3plex.algorithms.node_ranking), [1] spreading_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] start() (py3plex.visualization.fa2.forceatlas2.Timer method), [1] stats (py3plex.profiling.PerformanceMonitor attribute), [1] Status (class in py3plex.algorithms.community_detection.community_louvain), [1] stochastic_normalization() (in module py3plex.algorithms.node_ranking), [1] (in module py3plex.algorithms.node_ranking.node_ranking), [1] stochastic_normalization_hin() (in module py3plex.algorithms.node_ranking.node_ranking), [1] stop() (py3plex.visualization.fa2.forceatlas2.Timer method), [1] strongGravity() (in module py3plex.visualization.fa2.fa2util), [1] subgraph_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] subnetwork() (py3plex.core.multinet.multi_layer_network method), [1] summary() (py3plex.core.multinet.multi_layer_network method), [1] super_classes() (py3plex.algorithms.hedwig.core.kb.ExperimentKB method), [1] SUPPORT (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] supported_formats() (in module py3plex.io.api), [1] supra_adjacency_matrix_plot() (in module py3plex.visualization.multilayer), [1] supra_degree_centrality() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] supra_laplacian_spectrum() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] supra_matrix (py3plex.algorithms.multilayer_algorithms.multixrank.MultiXRank attribute), [1]

T

t_score() (in module py3plex.algorithms.hedwig.stats.scorefunctions), [1] table_to_latex() (in module py3plex.visualization.benchmark_visualizations), [1] TARGET (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] targeted_layer_removal() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] test() (py3plex.algorithms.hedwig.stats.validate.Validate method), [1] test_scale_free() (py3plex.core.multinet.multi_layer_network method), [1] timed_section() (in module py3plex.profiling), [1] Timer (class in py3plex.visualization.fa2.forceatlas2), [1]

to_homogeneous_hypergraph() (py3plex.core.multinet.multi_layer_network method), [1] to_json() (py3plex.algorithms.hedwig.core.rule.Rule static method), [1] (py3plex.core.multinet.multi_layer_network method), [1] to_networkx() (py3plex.core.multinet.multi_layer_network method), [1] to_sparse_matrix() (py3plex.core.multinet.multi_layer_network method), [1] TopKRanker (class in py3plex.wrappers.benchmark_nodes), [1] total_communicability() (py3plex.algorithms.multilayer_algorithms.centrality.MultilayerCentrality method), [1] total_weight (py3plex.algorithms.community_detection.community_louvain.Status attribute), [1] transition_matrix (py3plex.algorithms.multilayer_algorithms.multixrank.MultiXRank attribute), [1]

U

UnaryPredicate (class in py3plex.algorithms.hedwig.core.predicate), [1] unique_redundant_edges() (in module py3plex.algorithms.statistics.multilayer_statistics), [1]

unregister() (PluginRegistry method) updateMassAndGeometry() (py3plex.visualization.fa2.fa2util.Region method), [1] URIS (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1]

V

Validate (class in py3plex.algorithms.hedwig.stats.validate), [1] validate_csv_columns() (in module py3plex.validation), [1] validate_edgelist_format() (in module py3plex.validation), [1] validate_file_exists() (in module py3plex.validation), [1] validate_input_type() (in module py3plex.validation), [1] validate_label_propagation() (in module py3plex.algorithms.network_classification), [1] validate_multiedgelist_format() (in module py3plex.validation), [1] validate_multilayer_input() (in module py3plex.utils), [1] validate_network_data() (in module py3plex.validation), [1]

VERBOSE (py3plex.algorithms.hedwig.core.settings.Defaults attribute), [1] versatility_centrality() (in module py3plex.algorithms.statistics.multilayer_statistics), [1] VisualizationError, [1] visualize_embedding() (in module py3plex.visualization.embedding_visualization.embedding_visualization), [1] visualize_matrix() (py3plex.core.multinet.multi_layer_network method), [1] visualize_multilayer_network() (in module py3plex.visualization.multilayer), [1] visualize_network() (py3plex.core.multinet.multi_layer_network method), [1] visualize_ricci_core() (py3plex.core.multinet.multi_layer_network method), [1] visualize_ricci_layers() (py3plex.core.multinet.multi_layer_network method), [1] visualize_ricci_supra() (py3plex.core.multinet.multi_layer_network method), [1]

W

warn_if_deprecated() (in module py3plex.utils), [1]

wracc() (in module py3plex.algorithms.hedwig.stats.scorefunctions), [1] write() (in module py3plex.io.api), [1]

Z

z_score() (in module py3plex.algorithms.hedwig.stats.scorefunctions), [1]