计算机工程与应用 ›› 2015, Vol. 51 ›› Issue (12): 118-122.

• 数据库、数据挖掘、机器学习 • 上一篇    下一篇

基于传染病模型的社交网络舆情话题传播

谭  娟   

  1. 北京工商大学 商学院,北京 100048
  • 出版日期:2015-06-15 发布日期:2015-06-30

Public opinion topics propagation in social network based on infectious disease model

TAN Juan   

  1. Business School, Beijing Technology and Business University, Beijing 100048, China
  • Online:2015-06-15 Published:2015-06-30

摘要: 针对传统模型难以真实地描述社交网络舆情话题传播过程,提出一种基于传染病模型的社交网络舆情话题传播模型。分析了社交网络舆情话题的传播特点,根据传染病动力学机制,将内部感染概率、外部感染概率、免疫概率以及直接免疫概率引入舆情话题传播过程中,构建了社交网络舆情话题传播模型,在Matlab 2012平台下采用Facebook数据集进行仿真测试。仿真实验结果表明,该模型可以准确描述社交网络中的话题传播行为特征,研究结果可以为社交网络舆论管理者提供有价值的参考意见。

关键词: 社交网络, 舆情话题, 传播模型, 传染病动力学

Abstract: The traditional model can not accurately describe diffusion process of public opinion topic in social network. This paper puts forward a propagation model of public opinion topics in social network based on infectious disease. The propagation characteristics of the social network public opinion topic are analyzed, and then according to the infectious disease diffusion mechanism, the internal infection probability, probability of external infection, immune probability and direct immune probability are introduced into public opinion topic diffusion process and it establishes the propagation model of public opinion topic in social network. The simulation test is carried out on the platform of Matlab 2012 using facebook data set. The simulation experiment results show that the proposed model can accurately describe the propagation behavior characteristics of public opinion topics in social network. Research results can provide valuable reference for social network public opinion management.

Key words: social network, public opinion topics, propagation model, infectious disease dynamics