Inferring Profile Elements from Publicly Available Social Network Data

We investigate methods for inferring attribute values from publicly available profile from social networking platforms. These methods are not intended to attack the privacy of specific users but are intended to be usable on large datasets that can be used for large scale data-mining. We discuss attribute specific methods and put a special focus on methods using the friend-network of a user, either by weighting or selecting relations according to sub-network density.