multinet (R)

The multinet library used inside RStudio
The multinet library used inside RStudio.

The R multinet library was first released on CRAN in 2017 and provides functions to analyse multilayer networks. To install it, you only need an Internet connection and a recent version of R. You can do that by typing:

install.packages("multinet")

Here you can find documentation and source code, and register bugs or feature requests.

uunet.multinet (Python)

The Python uunet.multinet library is a recent porting of the R multinet library, available on PyPI. To install it, you only need an Internet connection and a recent version of Python and pip. You can do that by typing:

pip install uunet

Here you can find documentation and source code, and register bugs or feature requests.

uunet (C++)

The C++ uunet library contains most of the code behind the R and Python libraries for multilayer network analysis, in addition to other code for network and data analysis we develop at the Infolab.

Code for paper replicability

The code to replicate experiments in our papers is available from the Publications page.