计算机工程 ›› 2012, Vol. 38 ›› Issue (15): 100-103.doi: 10.3969/j.issn.1000-3428.2012.15.029

• 安全技术 • 上一篇    下一篇

微博病毒传播模型研究

杨春霞,胡丹婷,胡 森   

  1. (南京信息工程大学信息与控制学院,南京 210044)
  • 收稿日期:2011-09-26 出版日期:2012-08-05 发布日期:2012-08-05
  • 作者简介:杨春霞(1969-),女,教授、博士,主研方向:复杂网络与复杂系统;胡丹婷、胡 森,硕士
  • 基金项目:
    国家自然科学基金资助项目(60874111);江苏省高校自然科学基金资助项目(07KJD120128);江苏省青蓝工程基金资助项目

Research of MicroBlog Virus Propagation Model

YANG Chun-xia, HU Dan-ting, HU Sen   

  1. (School of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044, China)
  • Received:2011-09-26 Online:2012-08-05 Published:2012-08-05

摘要: 利用有向无标度网络描述微博用户的关系,在此基础上建立微博病毒传播模型,研究用户点击率、转发率以及对信息的反应速度等因素对病毒传播的影响。实验结果表明,用户点击恶意链接的行为能促使病毒传播,转发警告信息的行为能抑制病毒扩散,对信息做出反应经历的时间越短,病毒及警告信息传播得越快,并且越早对病毒采取抵制措施,病毒爆发的范围越小。

关键词: 微博病毒, 有向无标度网络, 病毒传播模型, 点击率, 转发率

Abstract: This paper uses a directed scale-free network to describe the MicroBlog users’ relationships, takes the behaviors of twitter users like the probability of opening twitter information and transmitting information, the time to check information and so on into account to construct a MicroBlog virus model. All the obtained results indicate that the behaviors of opening a twitter short link can prompt virus diffusing while the behaviors of transmitting warning information can restrain it spreading. The shorter the time to check information is, the faster virus spreads, and the earlier the time to transmit warning information is, the smaller the range of virus outbreaks is.

Key words: MicroBlog virus, directed scale-free network, virus propagation model, probability of opening, probability of transmitting

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