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Multivariate Network Visualization pp 127–150Cite as

Novel Visual Metaphors for Multivariate Networks

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8380))

Abstract

There are opportunities to display information in different ways. Node-link methods are common for multivariate networks, but there are a lot of other possibilities. To inspire new visualization techniques we look for novel visual metaphors for multivariate networks and discuss the data visual mapping process involving them, we discuss where ideas come from, and consider the ideation process itself. The metaphors are organized into nature, non-physical, man-made, and visualization-inspired classes. Besides exemplar work from each class, we present a gallery of potential new metaphors.

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Authors
  1. Jonathan C. Roberts
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  2. Jing Yang
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  3. Oliver Kohlbacher
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  4. Matthew O. Ward
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  5. Michelle X. Zhou
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Editor information

Editors and Affiliations

  1. Faculty of Technology (FTK), Department of Computer Science, Linnaeus University, Vejdes Plats 7, 351 95, Växjö, Sweden

    Andreas Kerren

  2. School of Computing Science, University of Glasgow, 18 Lilybank Gardens, G12 1RZ, Glasgow, UK

    Helen C. Purchase

  3. Department of Computer Science, Worcester Polytechnic Institute, 100 Institute Road, 01609-2280, Worcester, MA, USA

    Matthew O. Ward

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Roberts, J.C., Yang, J., Kohlbacher, O., Ward, M.O., Zhou, M.X. (2014). Novel Visual Metaphors for Multivariate Networks. In: Kerren, A., Purchase, H.C., Ward, M.O. (eds) Multivariate Network Visualization. Lecture Notes in Computer Science, vol 8380. Springer, Cham. https://doi.org/10.1007/978-3-319-06793-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-06793-3_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06792-6

  • Online ISBN: 978-3-319-06793-3

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