A Framework for Computing the Privacy Scores of Users in Online Social Networks

Date Added: Sep 2009
Format: PDF

A large body of work has been devoted to address corporate-scale privacy concerns related to social networks. The main focus was on how to share social networks owned by organizations without revealing the identities or sensitive relationships of the users involved. Not much attention has been given to the privacy risk of users posed by their information-sharing activities. This paper approaches the privacy concerns arising in online social networks from the individual users' viewpoint: the paper proposes a framework to compute a privacy score of a user, which indicates the potential privacy risk caused by his participation in the network. The definition of privacy score satisfies the following intuitive properties: the more sensitive the information revealed by a user, the higher his privacy risk.