Facebook Is Using Your Profile to Track Global Urban Migration Trends
theatlanticcities.com
theatlanticcities.com
I know that my experience is hardly indicative of anything, but I'd like to believe that it's happening more and more.
This alludes to anticipating urban migration and knowing 1) who moves where 2) when they move. This can be very interesting and (in most cases) frighteningly accurate advertisement information.
The temptation that none of the big data hoover companies (Google, Microsoft, Apple, Facebook, Yahoo, etc.) will be able to resist is something else:
When you have so much data on everybody, you have created yourself a situation that allows you to "hack the system" to your advantage and the disadvantage of those who don't have all that data. You can analyze the trends that the data shows and link them to the movements of the stock exchange, and you're all set for infinite passive income and domination - now you know before everybody else what to buy and what to sell and when (you can call it "insider trading based on data").
Now, if you, as the user want to supply all that data, that's up to you. If so, you'll not only be appreciated by those companies but by certain government agencies as well.
You can find the geographic analysis within this blog post:
http://blog.stephenwolfram.com/2013/04/data-science-of-the-f...
There is a much higher resolution version of the "migration wheel" available here:
http://www.wired.co.uk/magazine/archive/2013/12/start/facebo...
Mine isn't completed, partly because the real friends know it and the casual acquaintances don't need it, but if it were? Well, I can't tell them where I'm from with any precision. I grew up in four different towns, none particularly close to the others, went back to one for University (well, sort of - a stint in each of two towns in a conurbation), moved to a fifth for work, currently live in a sixth but will probably move to a seventh later this year - and I don't expect that move to be a 'forever' home.
So, Facebook, where am I from?
If you're looking to model migration patterns and you have a data gathering system that biases your data to capture a bimodal migration pattern - childhood in one location, adulthood in another - then I might suggest that you'll disproportionately find the data you were apparently expecting which fits that pattern.