The State of the Art in Multilayer Network Visualization
Mohammad Ghoniem (LIST), Fintan Mcgee (LIST), Guy Melan\c{c}on (LaBRI,, UB), Benoit Otjacques (LIST), Bruno Pinaud (LaBRI, UB)

TL;DR
This paper surveys the current state of multilayer network visualization, analyzing techniques, tools, and challenges across various domains to guide future research and development.
Contribution
It provides a comprehensive structured analysis of contemporary multilayer network visualization methods, tools, and challenges across multiple application domains.
Findings
Survey of visualization techniques for multilayer graphs
Identification of key challenges in multilayer network visualization
Suggestions for future research directions
Abstract
Modelling relationships between entities in real-world systems with a simple graph is a standard approach. However, reality is better embraced as several interdependent subsystems (or layers). Recently the concept of a multilayer network model has emerged from the field of complex systems. This model can be applied to a wide range of real-world datasets. Examples of multilayer networks can be found in the domains of life sciences, sociology, digital humanities and more. Within the domain of graph visualization there are many systems which visualize datasets having many characteristics of multilayer graphs. This report provides a state of the art and a structured analysis of contemporary multilayer network visualization, not only for researchers in visualization, but also for those who aim to visualize multilayer networks in the domain of complex systems, as well as those developing…
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Taxonomy
TopicsData Visualization and Analytics · Advanced Graph Neural Networks · Graph Theory and Algorithms
