According to the Washington Post, the impending initial public offering (IPO) by Facebook, with its expected windfall of cash from investors, might encourage some employees to go looking for housing. But the prospective home buyers are a bit picky. You see, they might not want to live next to someone who works for Google, for example, or any other competitor for that matter.
“You get a Yahoo guy against a Facebook guy against a Zynga guy against an Apple guy against a Google guy, then it's not just about the house,” real estate agent Carol Rodoni told the paper. “It's about the egos.”
So, how might you go looking for a house that wasn't near a competitor. Well, without violating privacy laws, might you start by see how your friends (...and their friends) are using location-based social media? If people are checking in with Google+ might they be a Google employee versus someone who is a checking in with Facebook Places? If they check in with foursquare does that mean they lean one way or another? What about Tweets with location enabled? Could you mine Tweets that indicate that a neighborhood favors Apple products and thus indicates an enclave of Apple employees, that is, given a proximal location to Cupertino, for example.
Seems like a great opportunity to map neighborhoods by social media preferences. Although mining that kind of "big data" could mean you might need a database appliance. Or maybe someone will come up with a simple solution that we might find in the app store soon? But which app store?
Think about it.
