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 |