基于行为分析的微博传播模型研究-计算机科学.pdf

Vo 1. 43 No. 12 第 43 卷第12 期 计算机科学 2016 年 12 月 Computer Science Dec 2016 基于行为分析的微博传播模型研究 郑志蕴郭芳王振飞李钝 (郑州大学信息工程学院 郑州 450001) 摘 要 随着微博的迅速兴起和其影响力的不断提高，提取微博信息传播特征和构建传播模型已成为了研究热点。 针对用户转发行为，首先分析了信息传播机制;然后从影响用户转发行为的发布用户、接收用户、用户亲密度和信息时 效性 4 个方面提取出 8 个特征因素进行建模;在借鉴传染病动力学 SIR 模型的基础上，引入用户行为分析和接触节 点，提出基于用户行为分析的 SCIR 模型，并给出动力学方程;最后利用新?良微博真实转发数据验证模型的合理性。 实验结采表明，考虑用户转发行为的 8 个影响因素，结合行为分析结采，能够较好地拟合信息传播过程。 关键词微博，传播，SCIR 模型，行为分析 中固法分类号 TP393 文献标识码 A DOI 10. 11896/j. issn. 1002-137X. 2016. 12.007 Study on Microblog Propagation Model Based on Analysis of User Behavior ZHENG Zhi-yun GUO Fang WANG Zhen-fei LI Dun (School of Information Engineering ,Zhengzhou University ,Zhengzhou 450001 ,China) Abstract With the rapid rise of twitter and its influence continuing to irnprove ,extracting the microblog information dissemination characteristics and building the propagation model have become a hot research topic. Forward for user be havior ,firstly the information transmission mechanism was analyzed. Then accroding to eight factors extracted from publishing user ,receiving user ,user intimacy and information timeliness four aspects which affect the user behavior , the model was established. After that ,the SCIR model was presented based on user behavior analysis and its d严mmlc equa tion was given. Finally the rationality of the model was validated by real forwarding data Results show that forward considering user behavior influence factor , and combining the behavior analysis , can well fit information dissemination process. Ke归10时s