# Analysis and Mining of Multilayer Social Networks

## Documentation for package ‘multinet’ version 1.1.1

- DESCRIPTION file.

## Help Pages

multinet-package | Multilayer social network analysis and mining
abacus.ml | Community detection algorithms
actors.ml | Listing network properties
add.actors.ml | Manipulation of multilayer networks
add.edges.ml | Manipulation of multilayer networks
add.layers.ml | Manipulation of multilayer networks
add.nodes.ml | Manipulation of multilayer networks
as.igraph.Rcpp_RMLNetwork | Conversion to a simple or multi graph
Classes | Classes defined by the package
clique.percolation.ml | Community detection algorithms
connective.redundancy.ml | Network analysis measures
Conversion | Conversion to a simple or multi graph
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
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 merge multiple layers into one: flattening and projection
get.community.list.ml | Community detection algorithms
get.values.ml | Managing attributes
Getting networks: generation | Generation of multilayer networks
Getting networks: IO | Reading and writing multilayer networks from/to file
Getting networks: predefined | Loading predefined multilayer networks
glouvain.ml | Community detection algorithms
grow.ml | Generation of multilayer networks
is.directed.ml | Controlling edge directionality
lart.ml | Community detection algorithms
layer.comparison.ml | Network analysis measures
layer.summary.ml | Network analysis measures
layers.ml | Listing network properties
Layout | Layouts
layout.circular.ml | Layouts
layout.multiforce.ml | Layouts
list.attributes.ml | Managing attributes
Measures: basic | Network analysis measures
Measures: distance-based | Network analysis measures: distance based
Measures: layer comparison | Network analysis measures
Measures: random walks | Network analysis measures
Mining: communities | Community detection algorithms
ml.aucs | Loading predefined multilayer networks
ml.empty | Loading predefined multilayer networks
ml.florentine | Loading predefined multilayer networks
ml.toy | Loading predefined multilayer networks
multinet | Multilayer social network analysis and mining
Navigation | Functions to extract neighbors of nodes, to navigate the network
neighborhood.ml | Network analysis measures
neighbors.ml | Functions to extract neighbors of nodes, to navigate the network
Network management: attributes | Managing attributes
Network management: edge directionality | Controlling edge directionality
Network management: properties | Listing network properties
Network management: updates | Manipulation of multilayer networks
new.attributes.ml | Managing attributes
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
occupation.ml | Network analysis measures
plot.ml | Drawing a multilayer network
plot.Rcpp_RMLNetwork | Drawing a multilayer network
Plotting | Drawing a multilayer network
project.ml | Functions to merge multiple layers into one: flattening and projection
Rcpp_REvolutionModel-class | Classes defined by the package
Rcpp_RMLNetwork-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 | Classes defined by the package
set.directed.ml | Controlling edge directionality
set.values.ml | Managing attributes
Transformation | Functions to merge multiple layers into one: flattening and projection
write.ml | Reading and writing multilayer networks from/to file
xneighborhood.ml | Network analysis measures
xneighbors.ml | Functions to extract neighbors of nodes, to navigate the network
xrelevance.ml | Network analysis measures