CSRT rumor spreading model based on complex network

被引:75
作者
Ai, Shan [1 ,2 ]
Hong, Sheng [3 ]
Zheng, Xinyang [4 ]
Wang, Yue [3 ]
Liu, Xiaozhang [1 ]
机构
[1] Hainan Univ, Sch Comp Sci & Cyberspace Secur, Haikou, Hainan, Peoples R China
[2] Guangzhou Univ, Sch Artificial Intelligence & Blockchain, Guangzhou, Peoples R China
[3] Beihang Univ, Sch Cyber Sci & Technol, 37 Xue Yuan Rd, Beijing 100191, Peoples R China
[4] Jilin Univ, Sch Comp Sci & Technol, Changchun, Peoples R China
基金
中国国家自然科学基金;
关键词
anxiety level; online social network; rumor spreading; transmission dynamics;
D O I
10.1002/int.22365
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Rumors mislead judgments of people, affect economic development, and the stability of social order. The research on the rule of spreading rumors is significant and meaningful. This paper improves the traditional Barabasi-Albert scale-free network and proposes a network topology model that conforms to the characteristics of sharing social networks based on the complex network theory and the actual characteristics of sharing social networks. In addition, the credulous spider rational taciturn rumor propagation model is proposed by improving the credulous spider rational model, which solves the overspread problem of the traditional rumor propagation model. This paper further studies the influence of anxiety on the spread of rumors, and finds that the anxiety of audience is increasing with the spread degree of rumors.
引用
收藏
页码:1903 / 1913
页数:11
相关论文
共 29 条
[1]   Analysis of the impact of education rate on the rumor spreading mechanism [J].
Afassinou, Komi .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2014, 414 :43-52
[2]   ANXIETY AND RUMOR [J].
ANTHONY, S .
JOURNAL OF SOCIAL PSYCHOLOGY, 1973, 89 (FEB) :91-98
[3]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[4]   The Spread of Behavior in an Online Social Network Experiment [J].
Centola, Damon .
SCIENCE, 2010, 329 (5996) :1194-1197
[5]  
Daley D., 1965, IMA J. Appl. Math., V1, P42, DOI [10.1093/imamat/1.1.42, DOI 10.1093/IMAMAT/1.1.42]
[6]  
Daley DJ, 2001, Epidemic modelling: An introduction, V15
[7]  
Fang BX, 2014, ANAL ONLINE SOCIAL N, P55
[8]   Cascading failure analysis and restoration strategy in an interdependent network [J].
Hong, Sheng ;
Lv, Chuan ;
Zhao, Tingdi ;
Wang, Baoqing ;
Wang, Jianghui ;
Zhu, Juxing .
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2016, 49 (19)
[9]   Epidemic spreading model of complex dynamical network with the heterogeneity of nodes [J].
Hong, Sheng ;
Yang, Hongqi ;
Zhao, Tingdi ;
Ma, Xiaomin .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2016, 47 (11) :2745-2752
[10]   A novel dynamics model of fault propagation and equilibrium analysis in complex dynamical communication network [J].
Hong, Sheng ;
Yang, Hongqi ;
Zio, Enrico ;
Huang, Ning .
APPLIED MATHEMATICS AND COMPUTATION, 2014, 247 :1021-1029