Journal of Computer Applications ›› 2014, Vol. 34 ›› Issue (8): 2404-2408.DOI: 10.11772/j.issn.1001-9081.2014.08.2404

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Micro-blog information diffusion effect based on behavior analysis

QI Chao,CHEN Hongchang,YU Yan   

  1. National Digital Switching System Engineering and Technology Research Center, Zhengzhou Henan 450002, China
  • Received:2014-02-10 Revised:2014-03-18 Online:2014-08-01 Published:2014-08-10
  • Contact: QI Chao



  1. 国家数字交换系统工程技术研究中心,郑州450002
  • 通讯作者: 齐超
  • 作者简介:齐超(1991-),男,江西南昌人,硕士研究生,主要研究方向:通信与信息系统;陈鸿昶(1964-),男,河南新密人,教授,博士生导师,主要研究方向:通信与信息系统;于岩(1989-),男,吉林通榆人,硕士研究生,主要研究方向:通信与信息系统。
  • 基金资助:



The research of dissemination effect of micro-blog message has an important role in improving marketing, strengthening public opinion monitoring and discovering hotspots accurately. Focused on difference between individuals which was not considered previously, this paper proposed a method of predicting scale and depth of retweeting based on behavior analysis. This paper presented a predictive model of retweet behavior with Logistic Regression (LR) algorithm and extracted nine relative features from users, relationship and content. Based on this model, this paper proposed the above predicting method which considered the character of information disseminating along users and iterative statistical analysis of adjacent users step by step. The experimental results on Sina micro-blog dataset show that the accuracy rate of scale and depth prediction approximates 87.1% and 81.6 respectively, which can predict the dissemination effect well.



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