MultilayerGraphs.jl is a Julia package for the creation, manipulation and analysis of multilayer graphs, which have been adopted to model a wide range of complex systems from bio-chemical to socio-technical networks.
We will synthetically introduce multilayer network science, illustrate some of the main features of the current version of the package and talk about its future developments.
MultilayerGraphs.jl is a Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.
A multilayer graph consists of multiple subgraphs called layers which can be interconnected through bipartite graphs called interlayers.
In order to formally represent multilayer networks, several theoretical paradigms have been proposed (e.g. see Bianconi (2018) and De Domenico (2022)) and adopted to model the structure and dynamics of a wide spectrum of high-dimensional, multi-scale, time-dependent complex systems including molecular, neuronal, social, ecological and economic networks (e.g. see Amato et al. (2017), DeDomenico (2017), Timteo et al. (2018), Aleta et al. (2020), Aleta et al. (2022)).
The package features an implementation that maps a standard integer-labelled vertex representation to a more user-friendly framework exporting all the objects a practitioner would expect such as nodes, vertices, layers, interlayers, etc.
In our talk we will briefly introduce the theory and applications of multilayer graphs and showcase some of the main features of the current version of the package through a quick tutorial including: