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Towards effective visual analytics on multiplex and multilayer networks
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
2015 (English)In: Chaos, Solitons & Fractals, ISSN 0960-0779, E-ISSN 1873-2887, Vol. 72, 68-76 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2015. Vol. 72, 68-76 p.
National Category
Computer Science
URN: urn:nbn:se:uu:diva-252721DOI: 10.1016/j.chaos.2014.12.022ISI: 000352926300007OAI: oai:DiVA.org:uu-252721DiVA: diva2:811598
Available from: 2015-05-12 Created: 2015-05-11 Last updated: 2015-11-12Bibliographically approved

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The full text will be freely available from 2017-02-07 11:18
Available from 2017-02-07 11:18

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Magnani, Matteo
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