REDUCING ATTRIBUTES of FACEBOOK USERS USING ROUGH SET THEORY
Walid Sayed Amin Abd-Allah, Shahenda S. Sarhan, Samir Elmougy · International journal of intelligent computing and information sciences/International Journal of Intelligent Computing and Information Sciences · 2016
Using social networks have become one of the daily activities that billions of peoples around the world do. So, great research efforts had been done to analyze and understand these virtual communities. Among other things, link prediction is a paramount task to analyze and understand these social networks. In this paper, we investigate link prediction problem using rough set theory to discard the irrelevant attributes that could be found in the profiles of Facebook users and the proposed workinduces accuracy 97.79%.