As an engaged Twitter observer & contributor (@AnalyticsToGo) with a background in Analytics, I am fascinated by the vastness and richness of collective intelligence evolving there.
It occurred to me that there is an inherent ranking of contributors, based on some fundamental dynamics.
The originality starts at the bottom, and as the stack rises, the focus shifts from authoring to distribution.
This graph illustrates the relationships in more detail:
And each color-coded Twitter activity type has its own purpose:
Red: implicitly rate content by spreading it
Orange: help categorizing content by marking it up (not scientific, but in the spirit of crowd wisdom)
Yellow: raise visibility to not much noticed content (help with discovery)
Green: help categorize Web content by marking it up (similar to Orange, which is more refining)
Cyan: Discover new Web content, promote it to broader audience
Blue: Create new Web content, and promote it
If you're looking for more detailed assessment of Twitterers' contributions, I found this free service quite useful: http://klout.com/
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