计算机工程 ›› 2018, Vol. 44 ›› Issue (10): 303-308,313.doi: 10.19678/j.issn.1000-3428.0049509

• 开发研究与工程应用 • 上一篇    下一篇

基于节点从众博弈的社交网络谣言传播模型

刘亚州,潘晓中,付伟   

  1. 武警工程大学 密码工程学院,西安 710086
  • 收稿日期:2017-11-30 出版日期:2018-10-15 发布日期:2018-11-14
  • 作者简介:刘亚州(1990—),男,硕士研究生,主研方向为网络与信息安全;潘晓中,教授、博士;付伟,硕士研究生。
  • 基金项目:

    国家自然科学基金“基于网络科学的网络谣言传播机理及干预机制研究”(61402531);陕西省自然科学基础研究计划项目(2015JQ6231,2014JQ8307)。

Social network rumor spreading model based on bandwagon game between nodes

LIU Yazhou,PAN Xiaozhong,FU Wei   

  1. School of Cryptographic Engineering,Engineering University of People’s Armed Police,Xi’an 710086,China
  • Received:2017-11-30 Online:2018-10-15 Published:2018-11-14

摘要:

针对经济社会中涉及个体利益的谣言逐渐增多的现状,结合实际谣言传播过程中存在的从众效应,定义一种新的博弈收益,借助博弈论建立谣言传播模型。考虑到谣言传播多与节点自身利益相关的特点,引入选择安全系数描述不同节点的非一致传播率,并利用决策转换因子描述谣言传播过程中策略改变的可能性,研究谣言在该模型上的传播动力学行为。利用典型BA无标度网络进行仿真,并在Twitter真实网络数据中对结果进行验证。实验结果表明:随着自主选择因子的增大,谣言在网络中传播范围变小;随着时间转换因子的增大,健康节点与感染节点的比例先增大后减小,最终趋近于零。

关键词: 谣言传播, 从众效应, 博弈论, 安全系数, 转换因子

Abstract:

In the economic society,the rumor involving individual interests is increasing gradually.Aimed at the existing bandwagon effect in the process of actual rumor spreading and combined with the node bandwagon effect as well,a new game revenue is defined while a rumors propagation model is established by leveraging the game theory.Considering the correlation between the spread of rumors and the interests of node,the selective safety coefficients are introduced to describe the non-uniform spread rates in different nodes,and decision-making conversion factors are utilized to describe the probability of the changes in the course of spreading rumors.By using a typical BA (Barabási-Albert) scale-free network and real network data in the Twitter,the experimental results show that,on the one hand,with the increase of autonomous selection factor,the spread of rumors in the network becomes smaller;on the other hand,with the increase of time conversion factor,the ratio of healthy nodes to infected nodes first increases,then decreases and finally converges to zero.

Key words: rumor spreading, bandwagon effect, game theory, safety coefficient, conversion factor

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