I’m liveblogging Emetrics Summit DC and this is a test of getting part of my post written from my laptop onto my 3G iPhone so I can take live notes.

Here’s the marketing notes for the session:

S01 Tuesday, 11:10 – 12:00
Social Network Analysis

Fred Türling, SHS Viveon AG

Internet based communities have been widely discussed since the arrival of the concept Web 2.0. So far, opportunities and risks of business models based on such user groups are not fully clear. Therefore a more fundamental understanding of community-based social structures is needed. How can web analytics and social network analytics help to analyze communities? Is it possible to create segments within the user base? How can we address attractive groups like multipliers and furthermore is it possible to describe special profiles like expert, salesperson, spreader, etc.? During the session Fred Türling will discuss these topics and show first results for two top forums and one collaboration network. Fred was invited over from Germany after his presentation was so well received at the eMetrics Marketing Optimization Summit in Munich.

I spoke a lot with Fred after his session and he suggested many ideas. Mostly, without giving away too much information Fred’s company can produce a data cube model from search and customer data that can predict, with a high degree of confidence, if a free member will turn into a paid member, and how long that will take, andwhen it’s likely to happen.

But the same methodology can be applied to sales calls, to predictive analysis of search results, to name a few.

Anyway, like usual, I missed a few sessions but had meaningful conversations, instead.

In fact, interestingly, Fred’s company does analysis of how to identify meaningful conversations using predictive analysis,and he did share some general info, but the actual results, which sound like they are even more impressive, are confidental.

And here’s the notes for the session