Technology Review: Unmasking Social-Network Users

Hmm…

In tests involving the photo-sharing site Flickr and the microblogging service Twitter, the Texas researchers were able to identify a third of the users with accounts on both sites simply by searching for recognizable patterns in anonymized network data. Both Twitter and Flickr display user information publicly, so the researchers anonymized much of the data in order to test their algorithms.

The researchers wanted to see if they could extract sensitive information about individuals using just the connections between users, even if almost all of the names, addresses, and other forms of personally identifying information had been removed. They found that they could, provided they could compare these patterns with those from another social-network graph where some user information was accessible.

Technology Review: Unmasking Social-Network Users