微博中转发行为的预测技术综述

在线社交网络中,微博平台的便捷性和开放性,给信息的传播和爆发提供了很大的便利。转发是微博平台上用户的重要行为,也是信息传播的关键机制。基于转发行为,分析一条推文是否被用户转发或者一段时间后的转发量,可以使我们更好地了解信息的传播特性,探索用户的行为与兴趣,以此推进信息推荐、预防突发事件和舆情监控等应用发展。该文较为系统地梳理了预测微博是否被转发及某段时间后的转发量这两方面的相关研究工作,着重阐述了基于用户、社交和内容特征的预测模型建立的过程并评价其预测性能,分析了微博转发行为的相关预测技术面临的挑战,展望了未来的可能研究方向。

Prediction of Retweeting Behavior in Microblog: A Survey

Retweeting, a simple and powerful function, is the key mechanism of information diffusion on major microblog platforms. Retweeting behavior can help us understand the characteristics of information diffusion and better explore users' behaviors and interests, which is of significance in various applications such as information recommendation, emergency prevention and public opinion monitoring. This paper discusses various research work related to predicting retweeting behavior and retweet count, and summarizes the current challenges and future research direction. This paper reviews the research in the field of retweeting so as to provide a reference for future researchers.