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Analysis of Multiplex Social Networks with R

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Analysis of Multiplex Social Networks with R. / Magnani, Matteo; Rossi, Luca; Vega, Davide.

In: Journal of Statistical Software, Vol. 98, No. 8, 02.06.2021.

Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

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Magnani, Matteo ; Rossi, Luca ; Vega, Davide. / Analysis of Multiplex Social Networks with R. In: Journal of Statistical Software. 2021 ; Vol. 98, No. 8.

Bibtex

@article{c6f90580979441e49e3c09365a7121ba,
title = "Analysis of Multiplex Social Networks with R",
abstract = " 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.",
author = "Matteo Magnani and Luca Rossi and Davide Vega",
year = "2021",
month = jun,
day = "2",
doi = "10.18637/jss.v098.i08",
language = "English",
volume = "98",
journal = "Journal of Statistical Software",
issn = "1548-7660",
publisher = "The Foundation for Open Access Statistics",
number = "8",

}

RIS

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 -

ID: 85989548