MultiNetLib (MuxNetLib) · Multilayer Network Analysis in R

Tools for multilayer / multiplex network analysis originally developed for muxViz, ported from MATLAB to R and extended over time.

• Origin: muxViz / MuxNetLib
• Version: 3.0 (historical baseline) — actively modularized for modern R/igraph
• Authors: Manlio De Domenico (original); ongoing maintenance & modularization with community contributions

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What this library provides

• Multilayer data structures and helpers (layers tensor, supra‑adjacency, supra‑Laplacian).
• Spectral geometry & entropy utilities (eigenpairs, spectral measures for comparison and embedding).
• Random walks & diffusion (transition matrices, edge‑colored dynamics).
• Components, paths, descriptors on mono/multilayer graphs.
• Matrix utilities in a MATLAB‑like style (e.g., kron, speye, blkdiag, …) for convenience.

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Installation

From local source (recommended during development)

install.packages("devtools")
devtools::install_local("path/to/MultiNetLib")   # or the .zip/.tar.gz you built

Load

library(MultiNetLib)

Dependencies: igraph, Matrix, RSpectra, stats, utils.
Suggested: testthat, knitr, rmarkdown, ggplot2, pkgdown, covr.

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Quick start

Look over inst/scripts for some examples to start with.

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Testing & docs

devtools::document()
devtools::test()
devtools::check()

• Unit tests cover key behaviors (robustness, components, random‑walks, spectral).
• Vignettes (recommended) show end‑to‑end workflows: supra‑adjacency → spectra/entropy → robustness curves.

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References

If you use this library in academic work, please cite muxViz / MuxNetLib and the relevant publications by Manlio De Domenico and collaborators.

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License

MIT License (see LICENSE).

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Changelog (high level)

• 2014 — first release (part of muxNet, MATLAB).
• 2017 — port to R.
• 2020 — v3.0 baseline.
• 2025 — ongoing modularization, igraph 2.x compatibility, tests, and docs improvements.