| 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 |