The multilayer network model recognizes that the complexity of relationships between entities in complex real-world systems is best understood in terms of multiple interdependent subsystems (or layers).
This book follows the ANR Blizaar project (2016-2019) and the organization of the Dagsthul seminar (in 2019) for which Bruno Pinaud and Guy Mélançon participated (SeD Department, team BKB).
The multilayer network model recognizes that the complexity of relationships between entities in complex real-world systems is best understood as several interdependent subsystems (or layers). Although only recently formalized and defined, this model can be applied to problems in the fields of life sciences, sociology, digital humanities, etc.
In the field of network visualization, there are already many approaches to visualize data sets with many characteristics of multilayer networks, as well as many techniques applicable to their visualization. In this review book, we provide an overview and structured analysis of contemporary multilayer network visualization. It is intended not only for visualization researchers, but also for those who aim to visualize multilayer networks in the field of complex systems, as well as for those who solve problems in application domains. We also identify research opportunities and discuss challenges in visualization and interaction with multilayer networks, as well as potential solutions and future research directions in this area.