Survey on Predicting Information Propagation in Microblogs
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National Program on Key Basic Research Project (973) (2014CB340503); National Natural Science Foundation of China (61472107, 61202277)

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    Abstract:

    Microblogs have gradually become popular platforms for users to acquire and share information with the public, which have brought a profound impact on information propagation. This paper presents a survey of predicting information propagation in microblogs. It is important to public opinion monitoring, online marketing and personalized recommendation. The paper first introduces the mechanism of information propagation, and reveals the characteristics of information propagation in microblogs through a brief overview of the qualitative research. Then, representative work is reviewed for the prediction of information propagation from three aspects including information centered prediction, user centered prediction and information-user centered prediction. The three corresponding tasks are predicting the popularity of information, predicting individual spread behaviors and predicting the path of information dissemination respectively. Next, the publicly available data sets for information propagation in microblogs are summarized. Finally, the key challenges are discussed to suggest the future research directions.

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李洋,陈毅恒,刘挺.微博信息传播预测研究综述.软件学报,2016,27(2):247-263

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History
  • Received:May 08,2015
  • Revised:October 17,2015
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  • Online: February 03,2016
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