Towards Inferring Influential Facebook Users

Facebook Users Attitudes towards Secondary Use of Personal Information

This paper reports on a study of how user attitudes to institutional privacy change after exposing users to potential inferences that can be made from information disclosed on Facebook. Two sets of focus group sessions with Facebook users were conducted. Three sessions were conducted by demonstrating to the users, on a general level, what can be inferred from posts using prototypical software c...

Profiling Facebook Users’ Privacy Behaviors

Social Network Sites (SNSs) such as Facebook offer a plethora of privacy controls, but users rarely exploit all of these controls, nor do they do so in a similar manner. In this paper, we analyze distinct profiles of users’ privacy management strategies on Facebook (including but also going beyond information disclosure behavior). We cluster the self-reported privacy behaviors of 308 Facebook u...

Finding similar users in Facebook

Online social networks are rapidly asserting themselves as popular services on the Web. A central point is to determine whether two distinct users can be considered similar, a crucial concept with interesting consequences on the possibility to accomplish targeted actions like, for example, political and social aggregations or commercial promotions. In this chapter we propose an approach in orde...

Restaurant Recommendation for Facebook Users

In the past decades, people have gained a wide range of options as the availability of information expands. To help them make decisions, recommendation systems play an important role in all kinds of aspects, e.g. news, books, movies and so on. In this project, we built a restaurant recommendation system by incorporating the power of social networks and local business review sites. To make accur...

Offline Detection of Influential Bitcoin Users