Current challenges in multilayer network engineering
Abstract Multilayer networks (MLNs) have become a popular choice to model complex systems. However, current MLN engineering solutions, that is, systems and methods to store, manipulate, and support the analysis of MLNs, are challenged by the size and complexity of contemporary sources of network data. We assess the maturity level of the MLN engineering ecosystem through an analysis of software libraries for MLNs, focusing on supported functionality, operators and their scalability. Based on this analysis, we provide an overview of the current status of the MLN engineering landscape, compile a list of current limitations to be addressed and propose future developments for more effective and broadly applicable MLN engineering solutions.
Authors
- Matteo Magnani (ORCID: https://orcid.org/0000-0002-3437-9018)
- Georgios Panayiotou (ORCID: https://orcid.org/0009-0002-3907-3189)
- Bruno Pinaud
Institutions
- Uppsala University (SE)
- Université de Bordeaux (FR)
- Bordeaux Population Health (FR)
- Laboratoire Bordelais de Recherche en Informatique (FR)
- Institut Polytechnique de Bordeaux (FR)
Publication Details
- Journal
- Applied Network Science
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1007/s41109-024-00686-4
- Citations
- 5
- Primary Topic
- Complex Network Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.41
Funders
- Vetenskapsrådet
- Uppsala Universitet
- Uppsala Multidisciplinary Center for Advanced Computational Science