[1]奚亚丽,王友国,柴 允.考虑群组传播的 SEIR 谣言传播模型[J].计算机技术与发展,2020,30(10):154-160.[doi:10. 3969 / j. issn. 1673-629X. 2020. 10. 028]
 XI Ya-li,WANG You-guo,CHAI Yun.SEIR Rumor Propagation Model Based on Group Communication in Mobile Social Networks[J].,2020,30(10):154-160.[doi:10. 3969 / j. issn. 1673-629X. 2020. 10. 028]
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考虑群组传播的 SEIR 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:
30
期数:
2020年10期
页码:
154-160
栏目:
应用开发研究
出版日期:
2020-10-10

文章信息/Info

Title:
SEIR Rumor Propagation Model Based on Group Communication in Mobile Social Networks
文章编号:
1673-629X(2020)10--0154-07
作者:
奚亚丽1王友国1柴 允2
1. 南京邮电大学 理学院,江苏 南京 210023; 2. 南京邮电大学 通信与信息工程学院,江苏 南京 210003
Author(s):
XI Ya-li1WANG You-guo1CHAI Yun2
1. School of Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China; 2. School of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
关键词:
群组传播谣言传播模型移动社交网络SEIR仿真分析
Keywords:
group communicationrumor propagation modelmobile social networkSEIRsimulation analysis
分类号:
TP39
DOI:
10. 3969 / j. issn. 1673-629X. 2020. 10. 028
摘要:
近年来,移动互联网络技术的高速发展极大地改变了信息的传播方式。 在移动社交网络中,人们根据共同爱好、亲友关系等往往聚合成特定的群组, 如 QQ 群、微信群等,并在这些群组之间进行信息分享与交流。 移动社交网络的特点在于所有用户都可以创建和管理社交群组并邀请朋友加入。 因此,一个群组很容易变成一个人们可能无法直接彼此认识的小团体,而人们通常会收到不同用户发布的谣言信息并将其转发给其他个人或团体。考虑到一些人可能因为不确定谣言的真实性,而不会立刻转发谣言。 因此,在引入 E 态的谣言传播模型上建立了一种考虑群组传播影响的新型 SEIR 模型,研究了移动社交网络中考虑群组传播的谣言传播动力学变化过程,并进行了稳态分析给出模型的传播阈值。 为了验证理论分析的正确性以及评估模型对相关参数的敏感性,计算给出了模型动力方程组的数值解,并在 Watts-Strogatz(WS)小世界网络上进行了是否考虑群组传播的仿真对比实验。 实验结果表明,群组传播极大地加快了谣言传播的进程; 且平均群组度的增加,会导致传播速度和传播者峰值规模均有所增加;群组规模越大,谣言的影响范围越广。
Abstract:
In recent years,the rapid development of mobile internet technology has greatly changed the way information transmission. In mobile social networks, people tend to aggregate into specific groups according to their common interests,relatives and friends,such as QQ group, WeChat groups,etc. ,and share information and communicate among these groups. A feature of mobile social networks is that all users can create and manage social groups and invite friends to join. Therefore,a group can easily become a small group that people may not be able to directly recognize each other, and people usually receive rumors from different users and forward them to other individuals or groups. Considering that some people may not forward the rumors immediately because they are uncertain about the authenticity of the rumors,theoretically introducing? ? ?the SEIR model based on the E state,a new SEIR model based on the influence of group propagation is established. The dynamic change pro-cess of rumor propagation based on group propagation in mobile social networks is studied. The steady-state analysis is carried out to give the propagation threshold of the model. In order to verify the correctness of the theoretical analysis and to assess the sensitivity of the model to the relevant parameters,the numerical solution of the model is given and numerical simulations are performed on the Watts–Strogatz (WS) small world network. The results show that group communication has greatly accelerated the process of rumor communication. The increase in the average group degree will lead to an increase in the speed of propagation and the peak size of the communicator. The larger the group size,the wider the scope of influence of the rumors.

相似文献/References:

[1]任珈仪,王友国*,柴 允,等.社交网络上理性者交互的群组传播谣言模型[J].计算机技术与发展,2021,31(07):105.[doi:10. 3969 / j. issn. 1673-629X. 2021. 07. 018]
 REN Jia-yi,WANG You-guo*,CHAI Yun,et al.A Rumor Spreading Model Considering Group Propagation andRational Interaction in Social Networks[J].,2021,31(10):105.[doi:10. 3969 / j. issn. 1673-629X. 2021. 07. 018]

更新日期/Last Update: 2020-10-10