TY - JOUR
T1 - Analysis of Multiplex Social Networks with R
AU - Magnani, Matteo
AU - Rossi, Luca
AU - Vega, Davide
PY - 2021/6/2
Y1 - 2021/6/2
N2 - Multiplex social networks are characterized by a common set of actors connected through multiple types of relations. The multinet package provides a set of R functions to analyze multiplex social networks within the more general framework of multilayer networks, where each type of relation is represented as a layer in the network. The package contains functions to import/export, create and manipulate multilayer networks, implementations of several state-of-the-art multiplex network analysis algorithms, e.g., for centrality measures, layer comparison, community detection and visualization. Internally, the package is mainly written in native C++ and integrated with R using the Rcpp package.
AB - Multiplex social networks are characterized by a common set of actors connected through multiple types of relations. The multinet package provides a set of R functions to analyze multiplex social networks within the more general framework of multilayer networks, where each type of relation is represented as a layer in the network. The package contains functions to import/export, create and manipulate multilayer networks, implementations of several state-of-the-art multiplex network analysis algorithms, e.g., for centrality measures, layer comparison, community detection and visualization. Internally, the package is mainly written in native C++ and integrated with R using the Rcpp package.
U2 - 10.18637/jss.v098.i08
DO - 10.18637/jss.v098.i08
M3 - Journal article
VL - 98
JO - Journal of Statistical Software
JF - Journal of Statistical Software
SN - 1548-7660
IS - 8
ER -