aggregatedTopological.multiplex: Aggregated topological matrix of the multiplex network
In Achab94/mplex: mplex

Description Usage Arguments Value Note References See Also Examples

Creates the so-called aggregated topological matrix of the multiplex network (see References for further information). This matrix is mostly used to see if one tie exists between two different nodes ( selected possibly by the indexNode argument) in at least one (intra)layer of the multiplex network (selected possibly by indexLayer argument).

aggregatedTopological.multiplex(obj,
                                indexNode = 1:length(nodes.multiplex(obj)),
                                indexLayer = 1:length(layers.multiplex(obj)),
                                verbose = FALSE)

`obj`	An object of class `multiplex`.
`indexNode`	A vector of IDs (or labels) for the selected nodes on which to calculate the aggregated topological matrix. Default selects all the nodes of the network.
`indexLayer`	A vector of IDs (or labels) for the selected (intra)layers on which to calculate the aggregated topological matrix. Default selects all the (intra)layers of the network.
`verbose`	Default is `FALSE`. If `TRUE`, the function prints on Console the names of the layers used to create the aggregated topological matrix.

A N x N matrix, the so-called aggregated topological matrix, where N is the number of nodes of the network.

This function could also be used to dichotomize a weighted adjacency matrix referred to a particular layer with weighted relationship: select the interested layer with its ID in the indexLayer argument.

Battiston et al. (2014) Structural measures for multiplex networks. Phys. Rev. E 89, 032804.

create.multiplex

# Loading Aarhus CS Department dataset.

data(aarhus_mplex)

# Creating the multiplex object using the dataset loaded into aarhus_mplex object.

mplexObj <- create.multiplex(nodes = aarhus_mplex$nodes,
                            layersNames = aarhus_mplex$layerNames,
                            layer1 = aarhus_mplex$L1,
                            type1 = "undirected",
                            aarhus_mplex$L2,
                            aarhus_mplex$L3,
                            aarhus_mplex$L4,
                            aarhus_mplex$L5
                            )

# Creating the aggregated topological matrix of the multiplex network:

aggregatedTopological.multiplex(mplexObj)

# Creating the aggregated topological matrix, selecting some nodes (employees) and
# 3 layers (relationships) between the 5 of the multiplex network.
# The command also prints on console (with option 'verbose = TRUE') the name of the layers
# used (and selected) for the construction of the aggregated topological matrix:

aggregatedTopological.multiplex(mplexObj,
                                indexNode = 1:10,
                                indexLayer = c(1, 3, 5),
                                verbose = TRUE
                                )