南华大学学报（自然科学版）2016，Vol.30Issue(4)：100-105,6.
基于用户特征的微博转发预测研究
Research on Micro￣blog Forward Prediction Based on User Characteristics
摘要
Abstract
Studying micro￣blog user forwarding behavior, micro￣blog forward probability, and determining the factors that affect the forwarding probability of micro￣blog have impor￣tant practical significance in the aspects of hot spot mining,product marketing,public opin￣ion monitoring,rumor control and so on.This paper describes the user characteristics affect￣ing 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.关键词
微博/用户特征/转发/预测Key words
micro￣blog/user characteristics/forward/forecast分类
信息技术与安全科学引用本文复制引用
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):100-105,6.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) （14YBA335）
