媒体干预下三分意见群体网络舆情传播模型

doi:10.16182/j.issn1004731x.joss.201808017

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (8): 2958-2965.doi: 10.16182/j.issn1004731x.joss.201808017

媒体干预下三分意见群体网络舆情传播模型

狄岚¹, 顾雨迪²

1.江南大学数字媒体学院,无锡 214122;
2.江南大学信息化建设与管理中心,无锡 214122

收稿日期:2016-11-03 出版日期:2018-08-10 发布日期:2019-01-08
作者简介:狄岚(1965-),女,南京,硕士,副教授,研究方向为信息安全、网络舆情等;顾雨迪(1990-),女,无锡,硕士,助工,研究方向为信息安全。
基金资助:
江苏省“六大人才高峰”高层次人才项目(DZXX-028),江苏省产学研项目(BY2014023-33)

Internet Public Opinion Dissemination Model with Triple Opinion Group under Media Intervention

Di Lan¹, Gu Yudi²

1. School of Digital Media; Jiangnan University, Wuxi 214122, China;
2. Center of Information Construction and Management, Jiangnan University, Wuxi 214122, China

Received:2016-11-03 Online:2018-08-10 Published:2019-01-08

摘要/Abstract

摘要： 通过构建带有讨论机制的舆情传播模型,研究媒体作用下三分意见群体舆情演变的内在规律。在参考疾病传播模型SIR(Susceptible,Infected,Recovered)、和媒体干预下的二分意见模型SIaIbR(Susceptible,Infected-a,Infected-b,Recovered)的基础上,提出了带有三分意见群体舆情演变的SI³R(Susceptible,triple Infected,Recovered)模型。与二分意见模型不同的是,三分意见模型引入了中立群体这一概念,并且在传播群体中占有较大比重。通过对中立群体的影响,媒体能够发挥更有效的作用。给出了三分意见群体模型及其动力学方程,通过数值求解,模拟了有无媒体作用的差异,以及分歧度、渗透率的变化对传播过程的影响。

关键词: 网络舆情, 媒体干预, 传播模型, 三分意见群体

Abstract: By constructing a dissemination model with a discussion of the Internet public opinion, the paper studies the inner rule of the public opinion evolution of the triple opinion group under the influence of the media. In reference to disease transmission model SIR(Susceptible, Infected, Recovered) and the two opinions model SIaIbR(Susceptible, Infected-a, Infected-b, Recovered), this paper presents a public opinion evolution model of the triple opinion group SI³R(Susceptible, triple Infected, Recovered). The SI³R model introduces the concept of neutral groups, and occupies a large proportion in the spread of the population. Through the influence of neutral groups, the media can play a more effective role. This paper gives the triple opinion group model and its dynamics equation, and simulates the difference whether the media is functioned or not. The influence of different divergence and permeability on the propagation process is shown as well.

Key words: internet public opinion, media intervention, propagation model, triple opinion group

中图分类号:

TP391.9

狄岚, 顾雨迪. 媒体干预下三分意见群体网络舆情传播模型[J]. 系统仿真学报, 2018, 30(8): 2958-2965.

Di Lan, Gu Yudi. Internet Public Opinion Dissemination Model with Triple Opinion Group under Media Intervention[J]. Journal of System Simulation, 2018, 30(8): 2958-2965.

参考文献

[1] 陈波, 于泠, 刘君亭, 等. 泛在媒体环境下的网络舆情传播控制模型[J]. 系统工程理论与实践, 2011, 31(11): 2140-2150.
Chen Bo, Yu Ling, Liu Junting, et al.Dissemination and Control Model of Internet Public Opinion the Ubiquitous Media Environments[J]. System Engineering - Theory & Practice, 2011, 31(11): 2140-2150.
[2] 朱恒民, 刘凯, 卢子芳. 媒体作用下互联网舆情话题传播模型研究[J]. 现代图书情报技术, 2013, 231(3): 45-50.
Zhu Hengmin, Liu Kai, Lu Zifang.Study on Topic Propagation Model of Internet Public Opinion Under the
3 Influence of the Media[J]. New technology of Library and Information Service, 2013, 231(3): 45-50.
[3] 张立凡, 赵凯. 媒体干预下带有讨论机制的网络舆情传播模型研究[J]. 现代图书情报技术, 2015, 264(11): 60-67.
Zhang Lifan, Zhao Kai.Study on the Internet Public Opinion Dissemination Model with Discussion under the Effect of Media[J]. New technology of Library and Information Service, 2015, 264(11): 60-67.
[4] Musselle C. Opinion Formation Dynamics and the Influence of the Media[EB/OL]. [2012-03-01]. http://bccs.bristol.ac.uk/toProgramme/_project/2008/Chris_Musselle_S08/.
[5] Crokidakis N.Effects of Mass Media on Opinion Spreading in the Sznajd Sociophysics Model[J]. Physica A: Statistical Mechanics & Its Applications (S0378-4371), 2012, 391: 1729-1734.
[6] Gruhl D, Guha R, Liben-Nowell D, et al.Information Diffusion Through Blogspace[C]//Proceedings of the 13th International Conference on World Wide Web. New York: ACM Press, 2004: 491-501.
[7] 孙有发, 梁肖肖, 郭旭冲, 等. 小世界网络VS均匀混合网络中的SIRS型传染病模型[J]. 系统仿真学报, 2012, 24(3): 669-675.
Sun Youfa, Liang Xiaoxiao, Guo Xuchong, et al.Comparison of SIRS Epidemic Model in Small -world Network and in Uniformly Mixed World[J]. Journal of System Simulation, 2012, 24(3): 669-675.
[8] Leskovec J, McGlohon M, Faloutsos C, et al. Patterns of Cascading Behavior in Large Blog Graphs[C]// Proceedings of the 7th SIAM International Conference on Data Mining, Minneapolis, Minnesota, USA.New York: ACM Press, 2007: 551-556.
[9] Sudbury A.The Proportion of the Population Never Hearing a Rumour[J]. Journal of Applied Probability (S0021-9002), 1985, 22(2): 443-446.
[10] 顾亦然, 夏玲玲. 在线社交网络中谣言的传播与抑制[J]. 物理学报, 2012, 61(23): 544-550.
Gu Yiran, Xia Lingling.The Propagation and Inhibition of Rumors in Online Social Network[J]. Acta Physica Sinica, 2012, 61(23): 544-550.
[11] 钱颖, 张楠, 赵来军, 等. 微博舆情传播规律研究[J]. 情报学报, 2012, 31(12): 1299-1304.
Qian Ying, Zhang Nan, Zhao Laijun, et al.The Spread of Public Sentiment on Micro-blogging under Emergencies[J]. Journal of the China Society for Scientific and Technical Information, 2012, 31(12): 1299-1304.
[12] Xu R Z, Li H L, Xing C M.Research on information dissemination model for social networking services[J]. International Journal of Computer Science and Application (S2324-7134 ), 2013, 2(1): 1-6.
[13] 李林, 孙军华. 基于社会网络冲突信息传播的群体特征[J]. 系统工程理论与实践, 2014, 34(1): 207-214.
Li Lin, Sun Junhua.Population Characteristics Based on Conflict Information Spreading on Social Network[J]. System Engineering - Theory & Practice, 2014, 34(1): 207-214.
[14] Gonalez-Parra G, Arenas A J, Chen-Charpentier B M. Combination of Nonstandard Schemes and Richardson’s Extrapolation to Improve the Numerical Solution of Population Models[J]. Mathematical and Computer Modeling (S0895-7177), 2010, 52(7/8): 1030-1036.
[15] Van den Driessche P, Watmough J. Reproduction Numbers and Sub-threshold Endemic Equilibria for Compartmental Models of Disease Transmission[J]. Mathematical Biosciences(S0025-5564), 2002, 180(1): 29-48.

媒体干预下三分意见群体网络舆情传播模型

Internet Public Opinion Dissemination Model with Triple Opinion Group under Media Intervention

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 4

编辑推荐

Metrics

本文评价

[1]	李锋, 魏莹. 时序网络视角下网络舆情的演化模型研究[J]. 系统仿真学报, 2020, 32(3): 394-403.
[2]	张明新. 国内网络舆情建模与仿真研究综述[J]. 系统仿真学报, 2019, 31(10): 1983-1994.
[3]	魏德志, 陈福集, 林丽娜. 基于博弈论和SIRS的热点事件传播仿真研究[J]. 系统仿真学报, 2018, 30(6): 2050-2057.
[4]	何凌南, 赖凯声, 林仲轩, 熊希灵. 跨学科视角下的网络舆情仿真研究[J]. 系统仿真学报, 2018, 30(10): 3616-3624.