Analysis of Multiplex Social Networks with R
- Matteo Magnani,
- ,
- Davide Vega
- Aarhus University,
- Aalborg University,
- Uppsala University,
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOriginal language
EnglishJournal (Volume, Issue Number)
Journal of Statistical Software (Volume 98, Issue 8)Publication milestones
- Published - 02/06/2021
Publication status
Published - 02/06/2021
ISSN
1548-7660Publication IDs
- Scopus: 85108233585
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.
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