GravityBubbleVis : an immersive and interactive visualization for live Internet activities

Evan Tran, Quang Vinh Nguyen, Kate Richards, Andrew Leahy, Simeon Simoff

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Understanding or discovering pattern and abnormality in live internet datasets is problematic due to their size and complexity. This paper presents a real-time interactive visualization for delivering and analysing behaviours in internet traffic. GravityBubbleVis provides powerful, flexible, yet simple visualizations which animate all activities of a domain in both normal and immersive environments. Based on our experimental designs, the gravity bubble metaphor is applied to provide a clear view of activities whose layouts were constructed dynamically by force-directed algorithms. The system consists of multiple phases, including data collection and processing, data classification, visualization and interaction. We also provide multiple supporting tools to enable the visual analysis including attribute mapping, control, filtering and advanced interaction in the immersive environment.
    Original languageEnglish
    Number of pages7
    JournalAustralian Journal of Intelligent Information Processing Systems
    Volume13
    Issue number4
    Publication statusPublished - 2014

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