| multinet-package | Multilayer social network analysis and mining |
| abacus_ml | Community detection algorithms and evaluation functions |
| actors_ml | Listing network properties |
| add_attributes_ml | Managing attributes |
| add_edges_ml | Manipulation of multilayer networks |
| add_igraph_layer_ml | Manipulation of multilayer networks |
| add_layers_ml | Manipulation of multilayer networks |
| add_nodes_ml | Manipulation of multilayer networks |
| add_vertices_ml | Manipulation of multilayer networks |
| as.igraph.multinet | Conversion to a simple or multi graph |
| as.igraph.Rcpp_RMLNetwork | Conversion to a simple or multi graph |
| attributes_ml | Managing attributes |
| clique_percolation_ml | Community detection algorithms and evaluation functions |
| connective_redundancy_ml | Network analysis measures |
| degree_deviation_ml | Network analysis measures |
| degree_ml | Network analysis measures |
| delete_actors_ml | Manipulation of multilayer networks |
| delete_edges_ml | Manipulation of multilayer networks |
| delete_layers_ml | Manipulation of multilayer networks |
| delete_nodes_ml | Manipulation of multilayer networks |
| delete_vertices_ml | Manipulation of multilayer networks |
| distance_ml | Network analysis measures: distance based |
| edges_idx_ml | Listing network properties |
| edges_ml | Listing network properties |
| evolution_er_ml | Generation of multilayer networks |
| evolution_pa_ml | Generation of multilayer networks |
| flatten_ml | Functions to transform existing layers into new ones. |
| flat_ec_ml | Community detection algorithms and evaluation functions |
| flat_nw_ml | Community detection algorithms and evaluation functions |
| generate_communities_ml | Generation of multilayer networks with a predefined community structure |
| get_community_list_ml | Community detection algorithms and evaluation functions |
| get_values_ml | Managing attributes |
| glouvain_ml | Community detection algorithms and evaluation functions |
| grow_ml | Generation of multilayer networks |
| infomap_ml | Community detection algorithms and evaluation functions |
| is_directed_ml | Controlling edge directionality |
| layers_ml | Listing network properties |
| layer_comparison_ml | Network analysis measures |
| layer_summary_ml | Network analysis measures |
| layout_circular_ml | Layouts |
| layout_multiforce_ml | Layouts |
| mdlp_ml | Community detection algorithms and evaluation functions |
| ml_aucs | Loading predefined multilayer networks |
| ml_bankwiring | Loading predefined multilayer networks |
| ml_empty | Loading predefined multilayer networks |
| ml_florentine | Loading predefined multilayer networks |
| ml_monastery | Loading predefined multilayer networks |
| ml_tailorshop | Loading predefined multilayer networks |
| ml_toy | Loading predefined multilayer networks |
| modularity_ml | Community detection algorithms and evaluation functions |
| multinet | Multilayer social network analysis and mining |
| multinet.actor_measures | Network analysis measures |
| multinet.attributes | Managing attributes |
| multinet.classes | Classes defined by the package |
| multinet.communities | Community detection algorithms and evaluation functions |
| multinet.community.generation | Generation of multilayer networks with a predefined community structure |
| multinet.conversion | Conversion to a simple or multi graph |
| multinet.distance | Network analysis measures: distance based |
| multinet.edge_directionality | Controlling edge directionality |
| multinet.generation | Generation of multilayer networks |
| multinet.IO | Reading and writing multilayer networks from/to file |
| multinet.layer_comparison | Network analysis measures |
| multinet.layout | Layouts |
| multinet.navigation | Functions to extract neighbors of vertices, to navigate the network |
| multinet.plotting | Drawing a multilayer network |
| multinet.predefined | Loading predefined multilayer networks |
| multinet.properties | Listing network properties |
| multinet.transformation | Functions to transform existing layers into new ones. |
| multinet.update | Manipulation of multilayer networks |
| neighborhood_ml | Network analysis measures |
| neighbors_ml | Functions to extract neighbors of vertices, to navigate the network |
| nmi_ml | Community detection algorithms and evaluation functions |
| nodes_ml | Listing network properties |
| num_actors_ml | Listing network properties |
| num_edges_ml | Listing network properties |
| num_layers_ml | Listing network properties |
| num_nodes_ml | Listing network properties |
| num_vertices_ml | Listing network properties |
| omega_index_ml | Community detection algorithms and evaluation functions |
| plot.ml | Drawing a multilayer network |
| plot.multinet | Drawing a multilayer network |
| plot.Rcpp_RMLNetwork | Drawing a multilayer network |
| project_ml | Functions to transform existing layers into new ones. |
| Rcpp_REvolutionModel-class | Classes defined by the package |
| read_ml | Reading and writing multilayer networks from/to file |
| relevance_ml | Network analysis measures |
| REvolutionModel | Classes defined by the package |
| RMLNetwork-class | Classes defined by the package |
| set_directed_ml | Controlling edge directionality |
| set_values_ml | Managing attributes |
| values2graphics | Drawing a multilayer network |
| vertices_ml | Listing network properties |
| write_ml | Reading and writing multilayer networks from/to file |
| xneighborhood_ml | Network analysis measures |
| xneighbors_ml | Functions to extract neighbors of vertices, to navigate the network |
| xrelevance_ml | Network analysis measures |