Exploring the diversity of retweeting behavior patterns in Chinese microblogging platform
作者：
Highlights：
• Proposing a new time series reduction method to capture the variations of retweeting time series at the structural level.
• Identifying representative retweeting temporal patterns.
• Conducting comprehensive analysis for different classes.
• Presenting a classification model predicting retweeting temporal patterns.
摘要
•Proposing a new time series reduction method to capture the variations of retweeting time series at the structural level.•Identifying representative retweeting temporal patterns.•Conducting comprehensive analysis for different classes.•Presenting a classification model predicting retweeting temporal patterns.
论文关键词：Retweeting behavior,Time series,Pattern discovery,Classification
论文评审过程：Received 24 November 2014, Revised 8 September 2016, Accepted 1 November 2016, Available online 9 November 2016, Version of Record 22 April 2017.
论文官网地址：https://doi.org/10.1016/j.ipm.2016.11.001
