We study users behavior in online social networks (OSN) as a means to preserve privacy. People widely use OSN for a variety of objectives and fields. Each OSN has different characteristics, requirements, and vulnerabilities of the private data shared. Sharing-habits refers to users’ patterns of sharing information. These sharing-habits implied by the communication between users and their peers hides a lot of additional private information. Most users are not aware that the sensitive private information they share might leak to unauthorized users. We use several different well-known strategies from graph flows, and the sharing-habits of information flow among OSN users to define efficient and easy to implement algorithms for ensuring privacy preservation with a predefined privacy level.