This twitter data visualization will have 3 specific elements to it:
1) "3d" objects representing the different subjects tweeted about
The different subjects of the tweets will be represented as cubes, spheres, and prisms. They will cluster together according to their type, and will appear individually as tweets come in. The objects fade over time so they visualization doesn't become too cluttered.
2) color changes depending on positive or negative connotation of tweets
If positively associated words are used, such as "awesome", "good", or "best", the objects will be blue. If negatively associated words are used, the objects will be red.
3) visually stimulating effects, such as lightning "synapses" between objects and a "gravity swarm" effect.
http://www.openprocessing.org/sketch/2363
http://rdwong.net/archive/lightning/
Other elements:
-A virtual camera will rotate around the "scene" 360 degrees the entire time.
-The background is completely black.
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