This website provides multilayer network datasets and tools for transforming them into the LASAGNE Multilayer Network Framework (LMF) formats.
The way data is organised in input network dataset formats differs significantly. Therefore, a meta-format is used as an intermediate step of the conversion to the LASAGNE format.
The connectors are used to perform this conversion. The meta-format consists of several files:
The meta-format files are then aggregated into the LASAGNE format — the edges are added layer by layer.
The LASAGNE aggregate format aims to represent multilayer networks, either directed or undirected, weighted or unweighted, temporal or static.
The format contains a list of edges of the form (Vi, Vj, α, β, t, Wij), where:
A converter web tool is provided on this website which implements connectors for four datasets. The individual connectors can also be downloaded as command line tools. Two of these datasets are also available pre-converted in LMF format.
|Command Line Tool|
|Noordin Top Terrorist Network||Sean F. Everton, Disrupting Dark Networks, 2012||connector_terrorist.py|
|Pardus Game Network||Szell and Thurner, Nature Scientific Reports, 2013||connector_pardus.py|
|Brain Connectivity Network||Nicosia, et al., Physical Review Letters, 2013||connector_brain.py|
Network visualisation tools for small datasets are available for download here.
The LASAGNE Multilayer Network Transformation Framework uses Python scripts for data conversion and visualisation. Alternatively, you can download the scripts and make use of them locally. You can find the tools in this GitHub repository.