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Interaction in the Visualization of Multivariate Networks

Wybrow, Michael and Elmqvist, Niklas and Fekete, Jean-Daniel and Landesberger, Tatiana von and van Wijk, Jarke and Zimmer, Björn (2014):
Interaction in the Visualization of Multivariate Networks.
Springer, Berlin, Heidelberg, New York, In: Multivariate Network Visualization, In: Lecture Notes in Computer Science (LNCS); 8380, DOI: 10.1007/978-3-319-06793-3₆, [Conference or Workshop Item]

Abstract

Interaction is a vital component in the visualization of multivariate networks. It enables greater amounts of information to be seen and explored than is possible with static visualization. Interaction can also help show the information landscape of the data while still allowing users to find and view areas of interest in greater detail and pivot between these. In this chapter, we first discuss the design space and requirements for interacting with large multivariate data sets. We describe and classify relevant interaction techniques, and give examples of the interactive aspects of multivariate graph visualization systems. We present recommendations and guidelines for designing novel interaction approaches. Finally, we describe the open challenges within the field of multivariate graph visualization as we see them.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: Wybrow, Michael and Elmqvist, Niklas and Fekete, Jean-Daniel and Landesberger, Tatiana von and van Wijk, Jarke and Zimmer, Björn
Title: Interaction in the Visualization of Multivariate Networks
Language: English
Abstract:

Interaction is a vital component in the visualization of multivariate networks. It enables greater amounts of information to be seen and explored than is possible with static visualization. Interaction can also help show the information landscape of the data while still allowing users to find and view areas of interest in greater detail and pivot between these. In this chapter, we first discuss the design space and requirements for interacting with large multivariate data sets. We describe and classify relevant interaction techniques, and give examples of the interactive aspects of multivariate graph visualization systems. We present recommendations and guidelines for designing novel interaction approaches. Finally, we describe the open challenges within the field of multivariate graph visualization as we see them.

Series Name: Lecture Notes in Computer Science (LNCS); 8380
Publisher: Springer, Berlin, Heidelberg, New York
Uncontrolled Keywords: Forschungsgruppe Visual Search and Analysis (VISA), Interaction, Networks, Multivariate data
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Multivariate Network Visualization
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1007/978-3-319-06793-3₆
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