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Visualizing Dynamic Network via Sampled Massive Sequence View

Published: 20 September 2019 Publication History

Abstract

Massive Sequence View(MSV) is an important timeline-based technique for dynamic network visualization. However, it often suffers from severe visual clutter when limited screen space holds excessive network edges. Inspired by the use of graph sampling in static graph analysis, we propose to utilize graph sampling to reduce visual clutter in MSV. An edge sampling method based on accept-reject random sampling is designed for visualizing dynamic network via MSV. The method is able to improve the overall readability of MSV while preserving time varying network behaviors. It is also a preliminary attempt to apply graph-sampling technique into dynamic network analysis.

References

[1]
D.F. Jerding and J.T. Stasko (1998). The Information Mural: A Technique for Displaying and Navigating Large Information Spaces. IEEE Trans. Visualization Computer Graphics, 4(3), 257--271.
[2]
Elzen S V D, Holten D, Blaas J, et al. Dynamic Network Visualization withExtended Massive Sequence Views(2014). IEEE Transactions on Visualization and Computer Graphics, 20(8), 1087--1099.
[3]
Rosenholtz R, Li Y, Mansfield J, et al (2005). Feature congestion: a measure of display clutter. In proceedings of Sigchi Conference on Human Factors in Computing Systems.

Cited By

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  • (2023)Online Dynamic Network Visualization Based on SIPA Layout AlgorithmApplied Sciences10.3390/app13231287313:23(12873)Online publication date: 30-Nov-2023
  • (2021)An online and nonuniform timeslicing method for network visualisationComputers and Graphics10.1016/j.cag.2021.04.00697:C(170-182)Online publication date: 1-Jun-2021
  • (2021)A comparative analysis for visualizing the temporal evolution of contact networks: a user studyJournal of Visualization10.1007/s12650-021-00759-x24:5(1011-1031)Online publication date: 1-Oct-2021
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  1. Visualizing Dynamic Network via Sampled Massive Sequence View

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    cover image ACM Other conferences
    VINCI '19: Proceedings of the 12th International Symposium on Visual Information Communication and Interaction
    September 2019
    201 pages
    ISBN:9781450376266
    DOI:10.1145/3356422
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    • East China Normal University

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 September 2019

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    Author Tags

    1. Massive sequence view
    2. accept-rejecting sampling
    3. dynamic network visualization

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    VINCI'2019

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    Overall Acceptance Rate 71 of 193 submissions, 37%

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    Cited By

    View all
    • (2023)Online Dynamic Network Visualization Based on SIPA Layout AlgorithmApplied Sciences10.3390/app13231287313:23(12873)Online publication date: 30-Nov-2023
    • (2021)An online and nonuniform timeslicing method for network visualisationComputers and Graphics10.1016/j.cag.2021.04.00697:C(170-182)Online publication date: 1-Jun-2021
    • (2021)A comparative analysis for visualizing the temporal evolution of contact networks: a user studyJournal of Visualization10.1007/s12650-021-00759-x24:5(1011-1031)Online publication date: 1-Oct-2021
    • (2021)A streaming edge sampling method for network visualizationKnowledge and Information Systems10.1007/s10115-021-01571-763:7(1717-1743)Online publication date: 1-Jul-2021

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