TY - JOUR
T1 - GravityBubbleVis : an immersive and interactive visualization for live Internet activities
AU - Tran, Evan
AU - Nguyen, Quang Vinh
AU - Richards, Kate
AU - Leahy, Andrew
AU - Simoff, Simeon
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://handle.uws.edu.au:8081/1959.7/542630
M3 - Article
SN - 1321-2133
VL - 13
JO - Australian Journal of Intelligent Information Processing Systems
JF - Australian Journal of Intelligent Information Processing Systems
IS - 4
ER -