—In this paper, we propose a Bayesian-inference based recommendation system for online social networks. In our system, users share their content ratings with friends. The rating ...
Online Social Networks (OSNs) are more and more popular recently; people may through them interact with each other for the purpose of social intercourse. The client/server OSN arch...
The ability to retain and lock members in competitive situations is an important concern of online social network sites. In this study, we proposed a research model to investigate...
Na Shi, Matthew K. O. Lee, Christy M. K. Cheung, H...
Using data from a popular online social network site, this paper explores the relationship between profile structure (namely, which fields are completed) and number of friends, gi...
The need for controlled sharing of sensitive information occurs in many realistic everyday scenarios, ranging from critical (e.g., national security) to mundane (e.g., social netw...