| 基于用户特征的微博转发预测研究 |
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| 引用本文： | 仇学明,肖基毅,陈磊.基于用户特征的微博转发预测研究[J].南华大学学报(自然科学版),2016,30(4):100-105. |
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| 作者姓名： | 仇学明 肖基毅 陈磊 |
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| 作者单位： | 南华大学 计算机科学与技术学院,湖南 衡阳 421001,南华大学 计算机科学与技术学院,湖南 衡阳 421001,南华大学 计算机科学与技术学院,湖南 衡阳 421001 |
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| 基金项目： | 湖南省哲学社会科学基金资助项目(14YBA335);国家自然科学基金资助项目(61402220) |
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| 摘 要： | 研究微博用户转发行为,预测微博转发概率,确定影响微博转发概率的因素,在热点挖掘、产品营销、舆情监控、谣言控制等方面有重要的现实意义.本文介绍了影响微博转发的用户特征,其中比较典型的有用户影响力、粉丝平均标签数、粉丝活跃度等特征.通过粉丝数-关注数算法、用户标签数算法、粉丝活跃度算法等分析了它们与微博转发之间的关联关系,并确定各个属性的阈值,这些阈值对微博转发预测起到了至关重要的作用.
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| 关 键 词： | 微博 用户特征 转发 预测 |
| 收稿时间： | 2016/10/10 0:00:00 |
Research on Micro-blog Forward Prediction Based on User Characteristics |
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| QIU Xue-ming,XIAO Ji-yi and CHEN Lei.Research on Micro-blog Forward Prediction Based on User Characteristics[J].Journal of Nanhua University:Science and Technology,2016,30(4):100-105. |
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| Authors: | QIU Xue-ming XIAO Ji-yi and CHEN Lei |
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| Institution: | School of Computer Science and Technology,University of South China,Hengyang,Hunan 421001,China,School of Computer Science and Technology,University of South China,Hengyang,Hunan 421001,China and School of Computer Science and Technology,University of South China,Hengyang,Hunan 421001,China |
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| Abstract: | Studying micro-blog user forwarding behavior,micro-blog forward probability,and determining the factors that affect the forwarding probability of micro-blog have important practical significance in the aspects of hot spot mining,product marketing,public opinion monitoring,rumor control and so on.This paper describes the user characteristics affecting micro-blog forward,among which the user influence,the number of fans,the average number of tags,fans active degree and so on are more typical.The micro-blog''s relationship with the number of fans,the number of users,the number of tags and the active degree of the fans are analyzed,mico-blog''s and the threshold value of each attribute is determined.These thresholds play a crucial role in the forward prediction of micro-blog. |
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| Keywords: | micro-blog user characteristics forward forecast |
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