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social engineering, social media, datamining


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Living in the Livehood

Carnegie Mellon researchers believe they can capture the essence of an area based on what Foursquare users do there.. The Livehoods Project presents a new methodology for studying the dynamics, structure, and character of a city on a large scale using social media and machine learning.

The project groups check-ins by physical proximity and measures "social proximity" by how often different people check into similar kinds of places. The resulting areas-which may not correspond to what the locals typically think of as their neighborhood-are dubbed "livehoods." As more people use smart phones and services that log their location data, interest in mining this information is likely to grow-both for the cultural insights it could show and the possibilities for advertising and other moneymaking opportunities.

Currently, Livehoods offers maps of just three places-Pittsburgh, the San Francisco Bay Area, and New York City (plus a bit of New Jersey)-on its website. The group hopes to add more cities soon, and says visitors can vote for ones they'd like to see mapped out.

Full Article...

Source: MIT Technology Review


Justin Cranshaw, Raz Schwartz, Jason Hong, Norman Sadeh (Carnegie Mellon University)

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