The Social Collider reveals cross-connections between conversations on Twitter.
With the Internet's promise of instant and absolute connectedness, two things appear to be curiously underrepresented: both temporal and lateral perspective of our data-trails. Yet, the amount of data we are constantly producing provides a whole world of contexts, many of which can reveal astonishing relationships if only looked at through time.
This experiment explores these possibilities by starting with messages on the microblogging-platform Twitter. One can search for usernames or topics, which are tracked through time and visualized much like the way a particle collider draws pictures of subatomic matter. Posts that didn't resonate with anyone just connect to the next item in the stream. The ones that did, however, spin off and horizontally link to users or topics who relate to them, either directly or in terms of their content.
The Social Collider acts as a metaphorical instrument which can be used to make visible how memes get created and how they propagate. Ideally, it might catch the Zeitgeist at work.
Almost 216 million people, or 3.15% of the world population, live outside their countries.
Living statistics – Many of us who have been following social media since the early 90s are very sensitive to today’s exponential growth in usage of the sharing web.
A massive central data source and a handy way to graphically compare nations.
Visualization and interaction experiments I produced for my Masters Thesis Visual tools for the sociosemantic web
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