›› 2013, Vol. 26 ›› Issue (8): 168-.

• 论文 • 上一篇    下一篇

改进SIR模型在社交网络信息传播中的应用

李可嘉,王义康   

  1. (中国计量学院 理学院,浙江 杭州 310018)
  • 出版日期:2013-08-15 发布日期:2013-09-25
  • 作者简介:李可嘉(1991—),女,本科。研究方向:智能计算。E-mail:1481261596@qq.com。王义康(1976—),男,博士,副教授。研究方向:复杂工业过程的建模与优化。

Application of Improved SIR Model in Information Transmission in Social Networks

LI Kejia,WANG Yikang   

  1. (College of Science,China Jiliang University,Hangzhou 310018,China)
  • Online:2013-08-15 Published:2013-09-25

摘要:

通过对社交网络结构的分析,将热传播结点引入网络,提出基于改进SIR的信息传播模型,并利用Tumblr中的实际数据进行仿真分析。结果表明,随着免疫概率的降低以及网络推手或普通传播者与易感者接触率的增加,信息在网络中的传播范围和传播速度都将得到一定的提升,在不加控制的情况下,信息会传播给特定网络中的大多数用户。改进的SIR模型可以较准确地揭示信息在社交网络中传播的内在规律。

关键词: SIR模型, 社交网络, 热传播节点, 信息传播

Abstract:

Based on the analysis of social network structure,this paper introduces the hot transmission node into network,and proposes an information transmission model based on the improved SIR model,which is simulated with the data-based Tumblr social network.The simulation results show that with the decrease of immune probability and the increase of contact between the Internet marketers or ordinary information disseminators and those easily infected,the information transmission scope and velocity in the network will be enhanced to some degree.Without artificial control,the information will be disseminated to a vast majority of the users in a specific social network.The improved information transmission model can reveal the inherent law of information transmission in social network more accurately.

中图分类号: 

  • C912.3