February 3 – 8 , 2019, Dagstuhl Seminar 19061

Visual Analytics of Multilayer Networks Across Disciplines


Nathalie Henry Riche (Microsoft Research – Redmond, US)
Mikko Kivelä (Aalto University, FI)
Fintan McGee (Luxembourg Inst. of Science & Technology, LU)
Guy Melançon (University of Bordeaux, FR)
Tatiana von Landesberger (TU Darmstadt, DE)

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List of Participants
Shared Documents
Dagstuhl Seminar Schedule [pdf]


Networks, used to understand systems, are frequently modelled, analysed and visualised as a single complete network. However, real-world systems are often more accurately modelled as a set of interacting networks, or layers. These so-called Multilayer Networks are studied by researchers both in network visualization and in complex systems — the domain from which the concept of Multilayer Networks has recently emerged. Moreover, researchers in various application domains study these systems, e.g. biology, digital humanities, sociology, business and financial analytics, geography, and journalism. This Dagstuhl Seminar will bring participants from these various areas together.

Visual analytics focuses on the design of visual representations of data that properly supports analytical tasks so that it reveals insight present in the data used to conduct the analysis. The challenge is to draw the right image based on sound statistics computed on the data that provide useful answers to domain centred questions. Multilayer Networks provide new challenges, in terms of visualization, analytics, interaction, and modelling. New tasks and domain problems are exposed across the application domains, which are not addressed by existing visual analytics approaches.

Layers can model many different concepts across application domains, and often terms such as heterogeneous, multi-faceted, multi-modal, or multi-relational networks, amongst others, are used to describe networks which can be modelled as multilayer networks. The core topics of the seminar will include the concept of layer, the novel visualization research avenues that will need to be exploited, and the required analytics techniques to extract salient properties and patterns in multilayer data. We will also examine the requirements and challenges in the application domains, as these drive each of the other topics.

The purpose of this seminar is to create an interdisciplinary community of researchers and practitioners of different disciplines to discuss challenges and outline research directions for visual analytics of multilayer networks. The seminar aims to provide:

  • real-world use cases (datasets and tasks) and open problems in a wide range of disciplines to inform and inspire visual analytics researchers and practitioners.
  • cutting-edge interactive visual exploration and analytics tools to inform and outline promising solutions to application domain researchers.
  • discussion leading to novel visual analytics techniques and novel applications of existing ones to push the state-of-the-art forward both in visual analytics and application domains.

  Creative Commons BY 3.0 DE
  Nathalie Henry Riche, Mikko Kivelä, Fintan McGee, Guy Melançon, and Tatiana von Landesberger


  • Data Structures / Algorithms / Complexity
  • Society / Human-computer Interaction


  • Multilayer Network Visualization
  • Complex Systems
  • Graph Visualization
  • Visual Analytics
  • Social Network Analysis
  • Biological Networks
  • Geographic Networks


In the series Dagstuhl Reports each Dagstuhl Seminar and Dagstuhl Perspectives Workshop is documented. The seminar organizers, in cooperation with the collector, prepare a report that includes contributions from the participants' talks together with a summary of the seminar.


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Furthermore, a comprehensive peer-reviewed collection of research papers can be published in the series Dagstuhl Follow-Ups.

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