摘要
对微博信息传播方式、转发预测方法等进行了分析,基于融入用户兴趣特征算法构建了一个信息在线分享预测模型,并以新浪微博数据为例对预测模型进行试验。实验结果显示,该类预测分析模型对于微博信息转发预测具备较高的准确度。
This paper mainly analyzes the way microblog information is transmitted and the method of forwarding prediction.Based on an algorithm integrating users’interest features,an information online sharing prediction model is constructed.Sina Weibo data taken as an example,the prediction model is tested.The experimental results show that this kind of prediction analysis model has high accuracy for microblog forwarding prediction.
作者
张霁雯
周军
ZHANG Ji-wen;ZHOU Jun(School of Electronics&Information Engineering,Liaoning University of Technology,Jinzhou 121001,China)
出处
《辽宁工业大学学报(自然科学版)》
2021年第3期153-156,160,共5页
Journal of Liaoning University of Technology(Natural Science Edition)
关键词
微博信息传播
预测
用户兴趣特征
PA算法
microblog information dissemination
prediction
users’interest features
PA algorithm