计算机应用 ›› 2021, Vol. 41 ›› Issue (4): 1128-1135.DOI: 10.11772/j.issn.1001-9081.2020071135

所属专题: 网络空间安全

• 网络空间安全 • 上一篇    下一篇

考虑非支持性评论的网络谣言传播模型

李燕, 陈巧萍   

  1. 上海海事大学 经济管理学院, 上海 201306
  • 收稿日期:2020-08-03 修回日期:2020-10-26 出版日期:2021-04-10 发布日期:2020-12-23
  • 通讯作者: 陈巧萍
  • 作者简介:李燕(1979—),女,广西贵港人,副教授,博士,主要研究方向:商务智能、信息推荐;陈巧萍(1994—),女,福建宁德人,硕士研究生,主要研究方向:舆情传播、商务智能。
  • 基金资助:
    上海市哲学社会科学规划课题项目(2015BTQ001)。

Internet rumor propagation model considering non-supportive comments

LI Yan, CHEN Qiaoping   

  1. College of Economics and Management, Shanghai Maritime University, Shanghai 201306, China
  • Received:2020-08-03 Revised:2020-10-26 Online:2021-04-10 Published:2020-12-23
  • Supported by:
    This work is partially supported by the Program of Shanghai Planning Project of Philosophy and Social Science (2015BTQ001).

摘要: 针对现有谣言传播模型尚未分析非支持性评论对网络谣言传播的影响,提出一个引入带有非支持性评论的谣言传播者的SIICR1R2(Susceptible-Infected-Infected with non-supportive comment-Removed1-Removed2)网络谣言传播模型。首先,对模型进行稳态分析,以证明无谣言平衡点和谣言传播平衡点的稳定性;其次,通过数值仿真验证理论成果,并分析非支持性评论率、恢复率、传播率和非支持性评论的说服力对网络谣言传播的影响。分析结果表明:提高非支持性评论率对网络谣言传播具有抑制效果,但是该效果受到恢复率的影响,而增强非支持性评论的说服力和降低传播率均能有效降低网络谣言的影响范围。基于WS(Watts-Strogatz)小世界网络和BA(Barabási-Albert)无标度网络进行模型仿真,仿真结果证实了非支持性评论能够抑制网络谣言传播;最后,根据分析结果提出相应的谣言防控策略。

关键词: 网络谣言传播, 非支持性评论, 稳态分析, 数值仿真, 防控策略

Abstract: In view of the existing rumor propagation model, the impact of non-supportive comments on internet rumor propagation has not been analyzed in detail. An SIICR1R2(Susceptible-Infected-Infected with non-supportive comment-Removed1-Removed2) internet rumor propagation model was proposed by introducing rumor spreaders with non-supportive comments. Firstly, the steady-state analysis of the model was performed to prove the stability of rumor-free equilibrium and rumor propagation equilibrium. Secondly, the theoretical results were verified by the numerical simulation, and the impacts of non-supportive comment probability, recovery probability, propagation probability and the persuasiveness of non-supportive comments on internet rumor propagation were analyzed. The analysis results show that increasing non-supportive comment probability has an inhibitory effect on internet rumor propagation, but the effect is affected by the recovery probability, and enhancing the persuasiveness of non-supportive comments and reducing the propagation probability can effectively reduce the influence range of internet rumor. Simulations results on WS(Watts-Strogatz) small-world network and BA(Barabási-Albert) scale-free network confirm that non-supportive comments can suppress internet rumor propagation. Finally, according to the analysis results, the prevention and control strategies of rumor were put forward.

Key words: internet rumor propagation, non-supportive comment, steady-state analysis, numerical simulation, prevention and control strategy

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