Predicting Retweeting in Microblogs

Abstract

Retweeting is a key mechanism for information diffusion in Microbloging services such as Twitter.It is the mechanism of retweeting that leads to the fast and wide diffusion of information in Microblogs.In addition,research on the characteristics of retweeting is of vital importance for many different fields such as viral marketing,political campaigns,breaking news detection and so on.In this paper,taking Twitter as an example,we investigate the retweeting mechanism in Microblogs by predicting whether a tweet will be retweeted.We analyze the importance of different features and apply the classification method with weighted features.The experiments show that the proposed method can predict a major fraction of tweets(nearly 86%),out-performing previous researches.