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ACAL
2007
Springer

In-Formation Flocking: An Approach to Data Visualization Using Multi-agent Formation Behavior

9 years 7 months ago
In-Formation Flocking: An Approach to Data Visualization Using Multi-agent Formation Behavior
This paper presents in-formation flocking, a novel information visualization technique that extends the original information flocking concept with dynamic and data-driven visual formation behavior generation. This approach extends the emergent swarming properties of a decentralized multiagent system in order to represent complex time-varying datasets through visually-recognizable formations and motion typologies. In-formation flocking is capable of representing volatile and inherently chaotic time-varying datasets while sustaining a comprehensible representation at a global level as well as revealing more detailed patterns in subsets of the data. This paper demonstrates the capabilities of in-formation flocking to historical stock market data.
Andrew Vande Moere, Andrea Lau
Added 06 Jun 2010
Updated 06 Jun 2010
Type Conference
Year 2007
Where ACAL
Authors Andrew Vande Moere, Andrea Lau
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