Data Science of the Facebook World—Stephen Wolfram Blog
More than a million people have now used our Wolfram|Alpha Personal Analytics for Facebook. And as part of our latest update, in addition to collecting some anonymized statistics, we launched a Data Donor program that allows people to contribute detailed data to us for research purposes. A few weeks ago we decided to start analyzing all this data. And I have to say that if nothing else it’s been a terrific example of the power of Mathematica and the Wolfram Language for doing data science. (It’ll also be good fodder for the Data Science course I’m starting to create.) We’d always planned to use the data we collect to enhance our Personal Analytics system. I’ve always been interested in people and the trajectories of their lives. So what does the data look like? So a first quantitative question to ask is: How big are these networks usually? But how typical are our users? So, OK. But what friends do they add? And here’s an interactive version, generated from CDF: OK. But, OK.
Related: Machine Intelligence