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June 22, 2009


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Dennis Stevenson

I completely agree with you. Treating the whole sample set as a unified sample was, in my opinion, a significant mis-assumption. I would rather see the study which analyzed the same 300,000 users as a segmentation study to define what are the discrete, statistical behaviors (eg. broadasters, retweeters, lurkers, dialogers...). When that study comes out, I think it will have something to say.

Twitter breaks down somewhat in comparison to the other social media outlets in as much as it is more of a platform or ecosystem than a specific application. Facebook and Wikipedia have pretty normalized outlets in terms of what content can be provided and why. They are applications.

Given the rise in twitter popularity, and (as you point out) the learning curve for use cases, I'm not surprised at the skew. It would be interesting to know, of the 10% contributors, what was the join date with Twitter.

John Maloney

Hi -

Nothing new here. It is a scale-free network.

Glad Harvard is on the research. This network property is pretty much known and predictable amomg the neterati, but good empirical validation for a popular social network system is always welcome. See:


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