multinet: Conversion – R documentation

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Conversion

Conversion to a simple or multi graph

Description

Constructs a single graph resulting from merging one or more layers of the network and converts it into an iGraph object.

Usage

## S3 method for class 'Rcpp_RMLNetwork'
as.igraph(x, layers = NULL, merge.actors = TRUE, all.actors = FALSE, ...)

Arguments

`x`	A multilayer network.
`layers`	A vector of names of layers. If `NULL`, all layers are included in the result.
`merge.actors`	Whether the vertices corresponding to each actor should be merged into a single vertex (true) or kept separated (false).
`all.actors`	Whether all actors in the multilayer network should be included in the result (true) or only those present in at least one of the input layers (false).
`...`	Additional arguments. None currently.

Value

An object of class iGraph.

Examples

net <- ml_aucs()
# using the default merge.actors=TRUE we create a multigraph,
# where each actor corresponds to a vertex in the result
multigraph <- as.igraph(net)
# this is a simple graph corresponding to the facebook layer
facebook1 <- as.igraph(net, "facebook")
# this includes also the actors without a facebook account
facebook2 <- as.igraph(net, "facebook", all.actors=TRUE)
# two layers are converted to an igraph object, where two
# vertices are used for each actor: one corresponding to the
# vertex on facebook, one to the vertex on lunch
f_l_net <- as.igraph(net, c("facebook","lunch"),
    merge.actors=FALSE)

multinet

Analysis and Mining of Multilayer Social Networks

v3.3.2

GPL

Authors

Matteo Magnani, Luca Rossi (API design), Obaida Hanteer (mdlpa, flat_ec, flat_nw, some community eval. functions), Davide Vega (API and code design), Mikael Dubik (glouvain). The package uses functions from eclat (www.borgelt.net/eclat.html), for association rule mining, Eigen (eigen.tuxfamily.org) and spectra (https://spectralib.org), for matrix manipulation, Infomap (www.mapequation.org), for the Infomap community detection method, and Howard Hinnant's date and time library (https://github.com/HowardHinnant/date). The code from these libraries has been included in our source package.

Initial release

2021-01-19