计算机工程 ›› 2018, Vol. 44 ›› Issue (11): 282-288,299.doi: 10.19678/j.issn.1000-3428.0048694

• 开发研究与工程应用 • 上一篇    下一篇

基于转发行为影响因素的SCIR信息传播模型

张永,华姗姗,张航   

  1. 兰州理工大学 计算机与通信学院,兰州 730050
  • 收稿日期:2017-09-15 出版日期:2018-11-15 发布日期:2018-11-15
  • 作者简介:张永(1963—),男,教授,主研方向为智能信息处理、数据挖掘;华姗姗、张航,硕士研究生。

SCIR Information Propagation Model Based on Influencing Factors of Forwarding Behavior

ZHANG Yong,HUA Shanshan,ZHANG Hang   

  1. Department of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,China
  • Received:2017-09-15 Online:2018-11-15 Published:2018-11-15

摘要:

在线社交网络上信息传播模型的构建和信息传播规律的研究,对于抑制恶意信息传播,加强网络舆论监管力度具有重要意义。通过对热点网络事件的分析,在传统SIR模型基础上加入一类新节点,建立信息传播SCIR模型。以用户交互关系和转发行为影响因素为分析基点,对转发行为相关的5个特征量做出具体分析与算法描述。通过流行病动力学演化方程实现信息传播过程的理论分析,采用不同网络中SIR模型和SCIR模型进行差异性分析。实验结果表明,相对SIR模型,SCIR模型具有更好的稳定性与信息传播覆盖性。

关键词: 信息传播, 转发行为, SIR模型, SCIR模型, 行为影响力

Abstract: The research on the construction of information propagation model and the law of information transmission on the online social network is of great significance to restrain the spread of malicious information and strengthen the supervision of public opinion on the internet.Based on the analysis of hotspot events,a kind of new node named carrier node is added on the basis of the traditional Susceptible Infected Removed(SIR) model,and a new model named Susceptible Contacted Infected Removed(SCIR) model is established to describe the information diffusion better in online social network.As the analysis of the relationship between user interaction and forwarding behavior,the five characteristics of forwarding behavior are analyzed and described.By the theoretical analysis of the evolution equation of the epidemic dynamics,the difference between the SIR model and the SCIR model is given.Experimental results show that compared with the SIR model,the SCIR model has better stability and information coverage.

Key words: information propagation, forwarding behavior, Susceptible Infected Removed(SIR) model, Susceptible Contacted Infected Removed(SCIR) model, behavior influence

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