[1]仓林青,王友国*,孙先莉.基于传播者心理差异的随机谣言传播模型[J].计算机技术与发展,2022,32(12):142-149.[doi:10. 3969 / j. issn. 1673-629X. 2022. 12. 022]
　CANG Lin-qing,WANG You-guo*,SUN Xian-li.Stochastic Rumor Propagation Model Based on Psychological Difference of Spreaders[J].,2022,32(12):142-149.[doi:10. 3969 / j. issn. 1673-629X. 2022. 12. 022]
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基于传播者心理差异的随机谣言传播模型()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
32
期数:
2022年12期
页码:
142-149
栏目:
人工智能
出版日期:
2022-12-10

文章信息/Info

Title:
Stochastic Rumor Propagation Model Based on Psychological Difference of Spreaders
文章编号:
1673-629X(2022)12-01142-08
作者:
仓林青; 王友国* ; 孙先莉
南京邮电大学 理学院,江苏 南京 210023
Author(s):
CANG Lin-qing; WANG You-guo* ; SUN Xian-li
School of Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
关键词:
随机谣言传播模型; 社交网络; 噪声; 沉默-复发机制; 蒙特卡洛方法
Keywords:
stochastic rumor propagation model; social network; noise; silent-return mechanism; Monte Carlo method
分类号:
TP393
DOI:
10. 3969 / j. issn. 1673-629X. 2022. 12. 022
摘要:
社交网络已经成为信息时代的主流媒体,因此研究社交网络上的谣言传播动力学行为有助于更好地理解谣言传播机理。 考虑到社交网络经常受环境因素的影响,导致网络拓扑结构是时变的,引入随机扰动的噪声,针对一些传播者由于心理差异因素,选择保持沉默,在谣言传播过程中引入沉默者个体,基于此建立一个考虑沉默-复发机制的随机 Si-SIR(Silent-Susceptible-Infected-Removed)谣言传播模型,并对复杂社交网络中随机谣言传播动力学方程进行了研究。 通过对随机模型进行稳定性分析,推导了谣言消亡的充分条件,讨论了同质网络和异质网络上谣言的传播阈值。 通过蒙特卡洛方法分别在 WS( Watts-Strogatz)小世界网络、BA( Barabsi-Albert) 无标度网络、Facebook 真实社交网络上进行模拟仿真。 仿真实验表明,添加适当强度的噪声,加速了谣言扩散的过程,扩大了谣言的最终规模;与 WS 和 BA 网络相比,Facebook 网络的谣言扩散速度更快,谣言的最终规模更高;更强的沉默-复发机制能够提高传播节点密度峰值和延迟谣言消亡的时间。
Abstract:
Social network has become the mainstream media in the information age. Therefore,studying the rumor propagation dynamicsin social network is helpful to better understand the rumor transmission mechanism. Considering that social networks are often affected byenvironmental factors,resulting in time - varying network topology,random disturbance noise is introduced. Aiming at some spreaderswho choose to remain silent due to psychological differences,silent nodes are introduced in the process of rumor spreading. Based onthis,a stochastic Si-SIR ( Silent-Susceptible-Infected-Removed) rumor propagation model by considering silent-return mechanism isestablished,and the dynamics equations of stochastic rumor propagation model in complex social networks are studied. Based on thestability analysis of stochastic model,the sufficient condition of rumor extinction is deduced,and the spreading threshold of rumor onhomogeneous network and heterogeneous network is discussed. Simulations are conducted in the WS ( Watts - Strogatz) small - worldnetwork,BA ( Barabsi-Albert) scale-free network,and Facebook real social network by Monte Carlo method,showing that the rumordiffusion process can be accelerated and expand final scale of rumor as long as add the appropriate noise intensity. The rumor spreadingspeed of the Facebook network is faster and the higher of final scale of the rumor as long than that in WS network and BA network.Stronger silence-return mechanism can increase the peak of spread nodes density and delay the time of rumor extinction.

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更新日期/Last Update: 2022-12-10