Unifying the framework of Multi-Layer Network and Visual Analytics

Søren Knudsen, Jan Aerts, Daniel Archambault, Remco Chang, Jean-Daniel Fekete, Martin Grandjean, Jessie Kennedy, Mikko Kivelä, Matteo Magnani, Helen Purchase, and others

Abstract

The notion of multi-layer networks introduces a general framework and common vocabulary for existing ideas in complex network theory. In doing so, it is possible to understand and compare these dierent ideas in a new and more fruitful manner. However, to make this operationalizable to the visualization and visual analytics community, we need more clarity. For example: What is a layer? What are the semantics of interlayer edges, and specifically, identity links between layers? Can dierent multilayered networks be expressed or implemented in the same way? And vice versa, can one multilayered network be expressed or implemented in dierent ways?

Cite as
  1. Knudsen, Søren, Jan Aerts, Daniel Archambault, Remco Chang, Jean-Daniel Fekete, Martin Grandjean, Jessie Kennedy, Mikko Kivelä, Matteo Magnani, Helen Purchase, and others. "Unifying the framework of Multi-Layer Network and Visual Analytics." In Visual Analytics of Multilayer Networks Across Disciplines (Dagstuhl Seminar 19061) 9, no. 2 (2019): 19–23
    Publisher DOI
Bibtex
@inproceedings{knudsen2019unifying,
  author = {Knudsen, S{\o}ren and Aerts, Jan and Archambault, Daniel and Chang, Remco and Fekete, Jean-Daniel and Grandjean, Martin and Kennedy, Jessie and Kivel{\"a}, Mikko and Magnani, Matteo and Purchase, Helen and others},
  booktitle = {{Visual Analytics of Multilayer Networks Across Disciplines (Dagstuhl Seminar 19061)}},
  title = {Unifying the framework of Multi-Layer Network and Visual Analytics},
  pages = {19--23},
  journal = {Dagstuhl Reports},
  issn = {2192-5283},
  year = {2019},
  volume = {9},
  number = {2},
  editor = {Kivel{\"a}, Mikko and McGee, Fintan and Melan{\c{c}}on, Guy and Riche, Nathalie Henry and von Landesberger, Tatiana},
  publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address = {Dagstuhl, Germany},
  url = {http://drops.dagstuhl.de/opus/volltexte/2019/10856},
  urn = {urn:nbn:de:0030-drops-108561},
  doi = {10.4230/DagRep.9.2.1},
  annote = {Keywords: biological networks, complex systems, geographic networks, graph visualization, multilayer network visualization, social network analysis,}
}