The idea of the plot in question is to track networks of people who have conversations with each other. In Twitter, we do this by tracking users who mutually “@” message each other, which basically means each user made a public tweet that included the other user in its text.

For the Real-Time Crunchup, this plot ended up looking like this:

On the right, the network is achored by @erickschonfeld, who was the event organizer, and on the left, by @stoweboyd, a prominent antendee. The separation between the two groups is quite striking, as are the interests and comments about the crunchup made by the respective groups.

Now, if we had only looked at friend/follower relationships, we would basically be looking at a big fuzzball — most of those people in fact do follow each other. But in a specific moment, there are de facto social relationships that are formed simply though the actual flow of information. This reciprocal plot represents the core of the core of the social network — the people who are actually engaged and exchanging information and opinions with each other.

This is exactly why social network analysis of Facebook has never really taken off — we don’t care about the “friends”, we care about actual behavior. How is the information flowing?

If you are of of the companies that launched this year, and would like a more in depth analysis, Infoharmoni has a special offer for you: the first 5 companies that sign up for our beta will get a deeper and more focused look at the Twitter buzz surrounding them. Just go to infoharmoni.com and click on the Beta Signup link at the top, and enter TC50 as the promo code.

If you didn’t launch this year, sign up anyway. If you want, indicate what part of the data you are interested in, and we will be in touch.

Infoharmoni is about applying advanced computational techniques to socially relevant data sets. The goal is to consumerize computationally-enabled knowledge production. As the blog title suggests, a major part of this is inventing and presenting data-oriented user interfaces.

This blog will be sharing technical results and conceptual ideas involving visualizing, computational modeling, the implications of algorithms to social change and business models, and of course analysis of specific data sets of interest. We look forward to your feedback and suggestions.