Effective Visibility Prediction on Online Social Network

The tremendous popularity of online social network (OSN) services in recent years has offered a new way of information sharing. OSN services allow the spread of information like fire in a forest, among the target audience. On the other hand, these services raise serious concerns about the privacy of their users. In this article, we propose a novel exponential model to measure the visibility of tweets exploiting the trust and interest of the followers. Furthermore, we develop a polynomial regression model and a deep neural network (DNN) model for visibility prediction. The experimental results with the real data show that the exponential model achieves better visibility prediction accuracy in comparison to the regression model and DNN model for a specific value of hop count.