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Interaction in the Visualization of Multivariate Networks

Wybrow, Michael ; Elmqvist, Niklas ; Fekete, Jean-Daniel ; Landesberger von Antburg, Tatiana ; Wijk, Jarke van ; Zimmer, Björn (2014)
Interaction in the Visualization of Multivariate Networks.
Multivariate Network Visualization.
doi: 10.1007/978-3-319-06793-3₆
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2014
Autor(en): Wybrow, Michael ; Elmqvist, Niklas ; Fekete, Jean-Daniel ; Landesberger von Antburg, Tatiana ; Wijk, Jarke van ; Zimmer, Björn
Art des Eintrags: Bibliographie
Titel: Interaction in the Visualization of Multivariate Networks
Sprache: Englisch
Publikationsjahr: 2014
Ort: Berlin, Heidelberg, New York
Verlag: Springer
Reihe: Lecture Notes in Computer Science (LNCS)
Band einer Reihe: 8380
Veranstaltungstitel: Multivariate Network Visualization
DOI: 10.1007/978-3-319-06793-3₆
Kurzbeschreibung (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.

Freie Schlagworte: Forschungsgruppe Visual Search and Analysis (VISA), Interaction, Networks, Multivariate data
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 26 Jul 2021 09:19
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