Towards effective visual analytics on multiplex and multilayer networks
- ,
- Matteo Magnani
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 68-76 (8 pages)Journal (Volume, Issue Number)
Chaos, Solitons & Fractals (Volume 72)Publication milestones
- Published - 03/2015
Publication status
Published - 03/2015
ISSN
0960-0779Publication IDs
- Scopus: 84923364231
Abstract
In this article we discuss visualisation strategies for multiplex networks. Since Moreno’s early works on network analysis, visualisation has been one of the main ways to understand networks thanks to its ability to summarise a complex structure into a single representation highlighting multiple properties of the data. However, despite the large renewed interest in the analysis of multiplex networks, no study has proposed specialised visualisation approaches for this context and traditional methods are typically applied instead. In this paper we initiate a critical and structured discussion of this topic, and claim that the development of specific visualisation methods for multiplex networks will be one of the main drivers pushing current research results into daily practice.
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Accepted author manuscript, 696.75 KB
Accepted author manuscript
