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MVN-Reduce: Dimensionality Reduction for the Visual Analysis of Multivariate Networks
Linnaeus University, Faculty of Technology, Department of Computer Science. (ISOVIS)ORCID iD: 0000-0002-2901-935X
University of Groningen, The Netherlands ; École Nationale de l’Aviation Civile, France.
University of São Paulo, Brazil.
University of Groningen, The Netherlands.
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2017 (English)In: EuroVis 2017 - Short Papers / [ed] Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll, Eurographics - European Association for Computer Graphics, 2017, 13-17 p.Conference paper, Published paper (Refereed)
Abstract [en]

The analysis of Multivariate Networks (MVNs) can be approached from two different perspectives: a multidimensional one, consisting of the nodes and their multiple attributes, or a relational one, consisting of the network’s topology of edges. In order to be comprehensive, a visual representation of an MVN must be able to accomodate both. In this paper, we propose a novel approach for the visualization of MVNs that works by combining these two perspectives into a single unified model, which is used as input to a dimensionality reduction method. The resulting 2D embedding takes into consideration both attribute- and edge-based similarities, with a user-controlled trade-off. We demonstrate our approach by exploring two real-world data sets: a co-authorship network and an open-source software development project. The results point out that our method is able to bring forward features of MVNs that could not be easily perceived from the investigation of the individual perspectives only. 

Place, publisher, year, edition, pages
Eurographics - European Association for Computer Graphics, 2017. 13-17 p.
Keyword [en]
Multivariate Networks, Dimensionality Reduction, Visualization, Information Visualization, Visual Analytics, Network Visualization, Graph Drawing
National Category
Computer Science
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-62133DOI: 10.2312/eurovisshort.20171126ISBN: 978-3-03868-043-7 (electronic)OAI: oai:DiVA.org:lnu-62133DiVA: diva2:1087400
Conference
19th EG/VGTC Conference on Visualization (EuroVis '17), 12-16 June 2017, Barcelona, Spain
Available from: 2017-04-06 Created: 2017-04-06 Last updated: 2017-09-14Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf