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The effectiveness of interactive visualization techniques for time navigation of dynamic graphs on large displays

Lookup NU author(s): Dr Daniel ArchambaultORCiD


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© 1995-2012 IEEE. Dynamic networks can be challenging to analyze visually, especially if they span a large time range during which new nodes and edges can appear and disappear. Although it is straightforward to provide interfaces for visualization that represent multiple states of the network (i.e., multiple timeslices) either simultaneously (e.g., through small multiples) or interactively (e.g., through interactive animation), these interfaces might not support tasks in which disjoint timeslices need to be compared. Since these tasks are key for understanding the dynamic aspects of the network, understanding which interactive visualizations best support these tasks is important. We present the results of a series of laboratory experiments comparing two traditional approaches (small multiples and interactive animation), with a more recent approach based on interactive timeslicing. The tasks were performed on a large display through a touch interface. Participants completed 24 trials of three tasks with all techniques. The results show that interactive timeslicing brings benefit when comparing distant points in time, but less benefits when analyzing contiguous intervals of time.

Publication metadata

Author(s): Lee A, Archambault D, Nacenta MA

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Visualization and Computer Graphics

Year: 2021

Volume: 27

Issue: 2

Pages: 528-538

Print publication date: 01/02/2021

Online publication date: 13/10/2020

Acceptance date: 14/08/2020

ISSN (print): 1077-2626

ISSN (electronic): 1941-0506

Publisher: IEEE


DOI: 10.1109/TVCG.2020.3030446

PubMed id: 33048738


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Microsoft Surface Hub award