# Analysis and Mining of Multilayer Social Networks

## Documentation for package ‘multinet’ version 4.3.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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