Social network marketing corporate forays

Here’s a reason why Microsoft invested over $200 million in Facebook. It’s all about the data Facebook has compiled on its user base and the time this user base spends on Facebook. What’s the “veracity index” for this data? One assumes it’s higher than other data sources, since users’ incentives to enter data honestly is relatively high (why lie to my friends?, why lie about what interests I share with my friends?, etc). Accordingly, some companies are stumbling into this space, and getting ripped because of their stumbles. On the other hand, some other companies are “getting it” (looks like Target’s winning).
Obviously, these companies want to tap Facebook’s rich data stores and its users’ apparent nonchalance concerning how marketers will use such data within the Facebook community (read the comments in this post). Real estate firms (or agents or agent teams) interested in establishing a viable Facebook presence should follow Target’s model, rather than the seeming corporate topdown foray employed by Coke. This is not to say there are no strategy considerations; rather Coke’s plight is a cautionary tale that militates against myopically stumbling into the social networking space.

11/12/2007 Research

The link-prediction problem for social networks

Link prediction and link detection in sequences of large social networks using temporal and local metrics.

Multiplicative latent factor models for description and prediction of social networks

Modeling Trust and Influence on Blogosphere using Link Polarity

Detecting invisible relevant persons in a homogeneous social network (.ppt here)