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 | Drawing a multilayer network |
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 |
summary.Rcpp_RMLNetwork | Summarise a multilayer network |
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 |