Information Aesthetics has tipped me off to two fascinating new web-based visualization tools for Twitter analysis. First, the “Social Collider:
The Social Collider [socialcollider.net] data visualization reveals cross-connections between conversations on 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 did not 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.
Then, the “Social Weather Mapper”:
Social Weather Mapping [smalltalkapp.com] geo-locates recent tweets in the US that contain the terms “sunny”, “rainy”, “snowy”, “windy”, and “foggy”. The size of the circles are determined by the number of tweets, and are colored by its current dominant weather. As sufficient “weather” data is aggregated, it can be used to form a multi-dimensional picture of the weather and the effect is has on our lives.
Both are part of the Google Chrome Experiments website, so they are entirely JavaScript & In-Browser.
