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 |