Novel Visual Metaphors for Multivariate Networks

Jonathan C. Roberts; Jing Yang; Oliver Kohlbacher; Matthew O. Ward; Michelle X. Zhou

doi:10.1007/978-3-319-06793-37

Novel Visual Metaphors for Multivariate Networks

Jonathan C. Roberts
, Jing Yang
, Oliver Kohlbacher
, Matthew O. Ward
, Michelle X. Zhou

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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.

Original language	English
Title of host publication	Multivariate Network Visualization
Subtitle of host publication	Dagstuhl Seminar 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions
Editors	Andreas Kerren, Helen C. Purchase, Matthew O. Ward
Place of Publication	Switzerland
Publisher	Springer International Publishing
Pages	127-150
Number of pages	24
ISBN (Electronic)	978-3-319-06793-3
ISBN (Print)	978-3-319-06792-6
DOIs	https://doi.org/10.1007/978-3-319-06793-37
Publication status	Published - 2014

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10.1007/978-3-319-06793-37

1 Article

One view is not enough: review of and encouragement for multiple and alternative representations in 3D and immersive visualisation
Roberts, J. C., Butcher, P. & Ritsos, P. D., 3 Feb 2022, In: Computers. 11, 2, 23 p., 20.
Research output: Contribution to journal › Article › peer-review

Open Access
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Research Institute of Visual Computing (RIVIC)
Roberts, J. (Participant), John, N. (Participant), Ritsos, P. (Participant), Ap Cenydd, L. (Participant), Hope, S. (Participant), Hughes, C. (Participant), Lim, I. S. (Participant), Miles, H. (Participant), Pop, S. (Participant), Scanlan, S. (Participant), Vidal, F. (Participant), Mantiuk, R. (Participant), Pavia, Y. (Participant) & Walker, R. (Participant)
Impact: Economic, Technological, Environmental, Societal

Cite this

Roberts, J. C., Yang, J., Kohlbacher, O., Ward, M. O., & Zhou, M. X. (2014). Novel Visual Metaphors for Multivariate Networks. In A. Kerren, H. C. Purchase, & M. O. Ward (Eds.), Multivariate Network Visualization: Dagstuhl Seminar 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions (pp. 127-150). Springer International Publishing. https://doi.org/10.1007/978-3-319-06793-37

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title = "Novel Visual Metaphors for Multivariate Networks",

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.",

author = "Roberts, \{Jonathan C.\} and Jing Yang and Oliver Kohlbacher and Ward, \{Matthew O.\} and Zhou, \{Michelle X.\}",

year = "2014",

doi = "10.1007/978-3-319-06793-37",

language = "English",

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Roberts, JC, Yang, J, Kohlbacher, O, Ward, MO & Zhou, MX 2014, Novel Visual Metaphors for Multivariate Networks. in A Kerren, HC Purchase & MO Ward (eds), Multivariate Network Visualization: Dagstuhl Seminar 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions. Springer International Publishing, Switzerland, pp. 127-150. https://doi.org/10.1007/978-3-319-06793-37

Novel Visual Metaphors for Multivariate Networks. / Roberts, Jonathan C.; Yang, Jing; Kohlbacher, Oliver et al.
Multivariate Network Visualization: Dagstuhl Seminar 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions. ed. / Andreas Kerren; Helen C. Purchase; Matthew O. Ward. Switzerland: Springer International Publishing, 2014. p. 127-150.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

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AU - Ward, Matthew O.

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AB - 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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Novel Visual Metaphors for Multivariate Networks

Abstract

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Research output

One view is not enough: review of and encouragement for multiple and alternative representations in 3D and immersive visualisation

Impacts

Research Institute of Visual Computing (RIVIC)

Cite this