Topics' popularity prediction based on ARMA model

Abstract

With the rapid development of information technology and the widespread application of information, social networks are becoming more convenient and faster tools for information release and acquisition. Predicting topic popularity is important for online referral systems, marketing services and public opinion controls. In this paper, we predict the popularity of topics with the help of time series analysis methods, verifying the validity of ARMA model in topic popularity prediction.