- October 7, 2011
Once upon a time, back in Twitter’s early days, a friend of mine equated the new social media network to a cocktail party. Folks gather around topics, disbursing themselves back into the social fabric once something more interesting comes along. An individual user could just pop in and out or be the center of attention; the interactions more mimicked real world interactions. They were organic, if you will.
In a project for the Adobe Museum of Digital Design, Kunal Anand, Director of Technology at the BBC, pulled information from the social network via our Twitter Census: TrstRank API and created one-eyed Tweetures who are sized and colored, by influence and type of user, respectively. These creatures move together around topics and float in space at differing speeds depending on tweet frequency. What is fascinating about Anand’s project that sets it apart from other Twitter visualizations is the anthropomorphized quality of his representations of Twitter users.
As we work to organize and understand the massive amounts of data we are producing in the social space, I love that there are artists and technologists alike taking the effort to make our digital archive not only informative and useful, but also whimsical and delightful.
(Thanks, FlowingData for the blog post about this today!)