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Social Collider (16h post launch)
The same query as in the previous image, only 16 hours later...
More info here: postspectacular.com/work/socialcollider/start
Part of the official Google Chrome collection of original experiments demonstrating the superior JavaScript performance of Google's browser, 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.
Credits
Karsten Schmidt - concept, design & programming
Sascha Pohflepp - concept, design
Follow us on Twitter for updates:
Social Collider (16h post launch)
The same query as in the previous image, only 16 hours later...
More info here: postspectacular.com/work/socialcollider/start
Part of the official Google Chrome collection of original experiments demonstrating the superior JavaScript performance of Google's browser, 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.
Credits
Karsten Schmidt - concept, design & programming
Sascha Pohflepp - concept, design
Follow us on Twitter for updates: