Predicting the Times of Retweeting in Microblogs
作者： Li Kuang , Xiang Tang , Kehua Guo
DOI: 10.1155/2014/604294
关键词:
摘要: Recently, microblog services accelerate the information propagation among peoples, leaving traditional media like newspaper, TV, forum, blogs, and web portals far behind. Various messages are spread quickly widely by retweeting in microblogs. In this paper, we take Sina as an example, aiming to predict possible number of retweets original tweet one month according time series distribution its top n retweets. order address problem, propose concept a tweet’s lifecycle, which is mainly decided three factors, namely, response time, importance content, interval distribution, then given curve fitted two-phase function, so month. The phases function divided lifecycle different functions used two phases. Experiment results show that our solution can problem predicting times microblogs with satisfying precision.
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