期刊论文

Research on Micro-blog Forward Prediction Based on User Characteristics

中文

南华大学学报(自然科学版)

1673-0062

2016

30

4

100-105

10.19431/j.cnki.1673-0062.2016.04.019

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)；

本校为第一机构

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.

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...