考虑非支持性评论的网络谣言传播模型

doi:10.11772/j.issn.1001-9081.2020071135

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

考虑非支持性评论的网络谣言传播模型

李燕, 陈巧萍

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

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/Abstract

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SII_CR₁R₂（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 SII_CR₁R₂(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

中图分类号:

TP391.9

李燕, 陈巧萍. 考虑非支持性评论的网络谣言传播模型[J]. 计算机应用, 2021, 41(4): 1128-1135.

LI Yan, CHEN Qiaoping. Internet rumor propagation model considering non-supportive comments[J]. Journal of Computer Applications, 2021, 41(4): 1128-1135.

参考文献

[1] ZANETTE D H. Critical behavior of propagation on small-world networks[J]. Physical Review E,Statistical Nonlinear and Soft Matter Physics,2001,64(5 Pt 1):No. 050901.
[2] ZANETTE D H. Dynamics of rumor propagation on small-world networks[J]. Physical Review E,Statistical Nonlinear and Soft Matter Physics,2002,65(4 Pt 1):No. 041908.
[3] MORENO Y,NEKOVEE M,PACHECO A F. Dynamics of rumor spreading in complex networks[J]. Physical Review E,Statistical Nonlinear and Soft Matter Physics,2004,69(6 Pt 2):No. 066130.
[4] XIA L, JIANG G, SONG B, et al. Rumor spreading model considering hesitating mechanism in complex social networks[J]. Physica A:Statistical Mechanics and its Applications,2015,437:295-303.
[5] LIU X,LI T,XU H,et al. Spreading dynamics of an online social information model on scale-free networks[J]. Physica A:Statistical Mechanics and its Applications,2019,514:497-510.
[6] ZHAO L, QIU X, WANG X, et al. Rumor spreading model considering forgetting and remembering mechanisms in inhomogeneous networks[J]. Physica A:Statistical Mechanics and its Applications,2013,392(4):987-994.
[7] 马宇红, 赵媛媛, 强亚蓉. 社交网络中谣言传播的从众效应和权威效应[J]. 计算机应用,2019,39(1):232-238.(MA Y H, ZHAO Y Y,QIANG Y R. Conformity effect and authoritative effect of rumor spreading in social network[J]. Journal of Computer Applications,2019,39(1):232-238.)
[8] JIA P,WANG C,ZHANG G,et al. A rumor spreading model based on two propagation channels in social networks[J]. Physica A:Statistical Mechanics and its Applications, 2019, 524:342-353.
[9] MA J,LI D,TIAN Z. Rumor spreading in online social networks by considering the bipolar social reinforcement[J]. Physica A:Statistical Mechanics and its Applications,2016,447:108-115.
[10] 刘亚州, 王静, 潘晓中, 等. 考虑节点亲密度的社交网络谣言传播研究[J]. 计算机工程与应用,2018,54(14):100-106.(LIU Y Z,WANG J,PAN X Z,et al. Research on social network rumor transmission considering degree of node intimacy[J]. Computer Engineering and Applications, 2018, 54(14):100-106.)
[11] 王丽婷, 张金鑫, 张金华. 具有多个传播源的网络谣言传播与导控模型研究[J/OL]. 情报科学[2020-02-23]. http://kns.cnki.net/kcms/detail/22.1264.g2.20200521.1530.014.html. (WANG L T,ZHANG J X,ZHANG J H. Research on Internet rumors spreading and control model with multiple propagation sources[J/OL]. Information Science[2020-02-23]. http://kns.cnki.net/kcms/detail/22.1264.g2.20200521.1530.014.html.)
[12] HUO L, CHENG Y. Dynamical analysis of a IWSR rumor spreading model with considering the self-growth mechanism and indiscernible degree[J]. Physica A:Statistical Mechanics and its Applications,2019,536:No. 120940.
[13] 张菊平, 郭昊明, 荆文君, 等. 基于真实信息传播者的谣言传播模型的动力学分析[J]. 物理学报,2019,68(15):No. 150501. (ZHANG J P,GUO H M,JING W J, et al. Dynamic analysis of rumor propagation model based on true information spreader[J]. Acta Physica Sinica,2019,68(15):No. 150501.)
[14] HUANG J,JIN X. Preventing rumor spreading on small-world networks[J]. Journal of Systems Science and Complexity,2011, 24(3):449-456.
[15] TANAKA Y,SAKAMOTO Y,MATSUKA T. Toward a socialtechnological system that inactivates false rumors through the critical thinking of crowds[C]//Proceedings of the 2013 Hawaii International Conference on System Sciences. Piscataway:IEEE, 2013:649-658.
[16] ZAN Y,WU J,LI P,et al. SICR rumor spreading model in complex networks:counterattack and self-resistance[J]. Physica A:Statistical Mechanics and its Applications, 2014, 405:159-170.
[17] 夏志杰, 吴忠, 王筱莉, 等. 社会化媒体谣言自净化机制的定量模拟研究[J]. 现代情报,2019,39(3):101-108.(XIA Z J,WU Z,WANG X L,et al. The quantitative simulation of social media rumors self-purification mechanism[J]. Journal of Modern Information,2019,39(3):101-108.)
[18] HU Y,PAN Q,HOU W,et al. Rumor spreading model with the different attitudes towards rumors[J]. Physica A:Statistical Mechanics and its Applications,2018,502:331-344.
[19] 雷仙鹤, 刘三红, 庞留勇. 疫苗接种、媒体报道和治疗措施对传染病传播影响的数学模型研究[J]. 数学的实践与认识,2020, 50(9):275-283.(LEI X H,LIU S H,PANG L Y. Mathematical modelling about the impact of vaccination,media coverage and treatment measures on transmission of epidemic[J]. Mathematics in Practice and Theory,2020,50(9):275-283.)

考虑非支持性评论的网络谣言传播模型

Internet rumor propagation model considering non-supportive comments

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