Microblogging Retweet Prediction Algorithm Based on Random Forest
Microblogging Retweet Prediction Algorithm Based on Random Forest
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发表时间：
2014
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通讯作者：
Luo Zhi-li
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作者：
Luo Zhi-li
微博转发是微博中一种重要的信息传播机制，用户可以转发关注者的博客并分享给自己的粉丝，从而实现微博的快速传播。本文研究了微博转发预测问题，首先分析和提取了微博的网络结构、权重比、用户特征等重要特征，然后提出了一种新的基于随机森林的微博转发预测算法（RFMR）。实验结果表明，该算法能够有效地预测微博的转发量。与其他分类方法相比，RFMR具有更好的性能，可以有效地预测用户的转推行为。
Retweet is an important information diffusion mechanism in Microblogging,in which users can forward their followers' blogging and share it to their fans,and it can quickly diffuse.This paper studied Microblogging retweet prediction.First we analyzed and extracted the important features,such as micro network structure,weight ratio,user profiles,and then proposed a new prediction algorithm based on random forest(RFMR).The experiment shows that,compared to other classifications,RFMR has better performance.It can effectively predict user retweet behavior.