Multiple types of nodes/edges in a network are often flattened into a single network. However, real-world data and systems are often more accurately modelled as a set of interacting networks, or layers, with different node and edge types. These so-called Multilayer Networks are studied by researchers both in network visualization and in complex systems. Multilayer Networks provide new challenges for visualization, visual analytics, interaction, and modelling. New tasks and domain problems arise, which are not yet addressed by existing visual analytics approaches.
This workshop will focus on the contributions possible from the information visualization and visual analytics communities to advance visual analytics of Multilayer Networks. The workshop provides a platform for short presentations on urgent challenges, innovative ideas, new frameworks, novel design concepts, fundamental requirements, and work in progress related to the workshop topic.
The workshop keynote will be given by Guy Melançon, University of Bordeaux (FR): Prof. Melançon’s primary research area is network visual analytics, focusing specifically on multilayer and dynamic networks, with extensive experience in multi-disciplinary research projects. The application domains of his work have included human trafficking networks, digital ethnography, historical archives, spatial geography, and software engineering. He was an organizer of the recent Dagstuhl Seminar on “Visual Analytics of Multilayer Networks across Disciplines” (#19061).
This workshop is a venue for discussion of the emerging topic of Multilayer Networks . The vision is to stimulate research on Multilayer Networks within the wider visualization and visual analytics communities. Building from a successful Dagstuhl seminar on "Visualization of Multilayer Networks Across Disciplines" (#19061), we would like to bring the complex network and application domain perspective to this platform through talks and short presentations.
Specifically, the primary goals of this workshop are:
1. To clearly identify and present the specific challenges of Multilayer Networks to the visual analytics and visualization communities.
2. To provide support for a community of visualization researchers to foster creation and evaluation of innovative visual analytics solutions that can be applied to the topic of Multilayer Networks.
3. To provide a significant platform in visualization for ideas sourced from the wide range of domains contributing to Multilayer Networks. Bringing in such a diverse set of research ideas will allow us to identify interdisciplinary challenges and foster future interdisciplinary collaborations.
The workshop will focus on the following subtopics specifically (however other topics may be included):
The official workshop website, including the workshop programme and accepted submissions, can be found at
The organisers wish to thank Schloss Dagstuhl for hosting Seminar #19061 on “Visual Analytics of Multilayer Networks across Disciplines”, of which this workshop is an outcome. This workshop is was also partially funded by the BLIZAAR project on Multilayer Network Visualization (an international co operation co-funded by the French ANR grant BLIZAAR ANR-15-CE23-0002-01 and the Luxembourgish FNR grant BLIZAAR INTER/ANR/14/9909176) and the HiGHmed Project funded within German BMBF Medical Informatics initiative.