Bombay I+D

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Flickr Time, The MOMMENT. At that time, what were you doing.
We Read, We Tweet: Visualizing the New York Times through Twitter
GoodMorning! GoodMorning! GoodMorning! is a Twitter visualization tool that shows about 11,000 ‘good morning’ tweets over a 24 hour period, rendering a simple sample of Twitter activity around the globe. The tweets are colour-coded: green blocks are early tweets, orange ones are around 9am, and red tweets are later in the morning. Black blocks are ‘out of time’ tweets which said good morning (or a non-english equivalent) at a strange time in the day. Click on the image above to see North America in detail (click on the ‘all sizes’ button to see the high-res version, which is 6400×3600), or watch the video below to see the ‘good morning’ wave travel around the globe:

Personas is a component of the Metropath(ologies) exhibit, originally on display at the MIT Museum by the Sociable Media Group from the MIT Media Lab. It has been shown in 7 exhibits around the world since, from Peru to Italy. It uses sophisticated natural language processing and the Internet to create a data portrait of one's aggregated online identity. In short, Personas shows you how the Internet sees you. Personas | Metropath(ologies) | An installation by Aaron Zinman

Personas | Metropath(ologies) | An installation by Aaron Zinman

Herman Miller
What Do You Suggest takes a seed from you (or gives you something random) then guides you on a journey through language and the collective lives of Google users. Using data from Google to make suggetions on where you might like to go next, What Do You Suggest is an experimental and interactive environment designed to explore how we use language and search on the internet. You can read more about the site on my blog. As part of this experiment, I'm recording some data about how people use the site and the paths they choose to explore. What do you suggest? What do you suggest?
Zoho:Lab - End of Year Top Album Charts = UI/UX Data Visualisation Example
Bicycle Built for Two Thousand