An ICDRI rumor propagation model based on the individual discrepancy theory in social networks

被引:0
作者
Qiao, Donghang [1 ]
Qiu, Liqing [1 ]
Sun, Chengai [1 ]
机构
[1] Shandong Univ Sci & Technol, Coll Comp Sci & Engn, Shandong Prov Key Lab Wisdom Mine Informat Techno, Qingdao 266590, Shandong, Peoples R China
来源
INTERNATIONAL JOURNAL OF MODERN PHYSICS C | 2023年 / 34卷 / 01期
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Rumor propagation; individual discrepancy theory; conservative; steady state; rumor circular;
D O I
10.1142/S0129183123500043
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Rumors can bring about a seriously negative impact on all respects of society in this information era. More targeted control strategies can be acquired through the research of rumor propagation. When receiving rumors, individuals may keep imperturbable according to their rationality or bygone experience, and then choose not to propagate rumors provisionally. Oppositely, others may ask people around them about the realness of rumors due to bewilderment, which may further lead to the propagation of rumors. Therefore, an Ignorant-Conservative-Disseminator-Restorer-Ignorant (ICDRI) rumor dissemination model is proposed, which comprehensively considers users' various probable actions under rumor and anti-rumor information. Furthermore, new links are added among nodes in accordance with the individual discrepancy theory and the influencing factors of rumor spreading including negation factor, authority factor, exhaustion factor, etc. According to the calculated basic regeneration number, simulation analysis and model comparison, the steady state and superiority of the ICDRI model is proved. Finally, strategies to control the spread of rumors are obtained through the sensitivity analysis of parameters. The simulation results demonstrate that the ICDRI model can more realistically reflect the dissemination of rumors, and the official rumor refutation or circular can efficaciously curb the spreading of rumors.
引用
收藏
页数:16
相关论文
共 29 条
[1]  
[曹春萍 Cao Chunping], 2021, [小型微型计算机系统, Journal of Chinese Computer Systems], V42, P1655
[2]  
Daley DJ, 2001, Epidemic Modelling: An Introduction
[3]  
Fu Wei, 2018, Journal of Computer Applications, V38, P1951, DOI 10.11772/j.issn.1001-9081.2018010132
[4]  
Gu Yudi, 2018, CAAI Transactions on Intelligent Systems, V13, P700, DOI 10.11992/tis.201705009
[5]  
Guo Y., 2021, J U S CHINA SCI TECH, V35
[6]   Dynamic rumor spreading of public opinion reversal on Weibo based on a two-stage SPNR model [J].
Jiang, Guoyin ;
Li, Saipeng ;
Li, Minglei .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 558
[7]   A PSYCHOLOGY OF RUMOR [J].
Knapp, Robert H. .
PUBLIC OPINION QUARTERLY, 1944, 8 (01) :22-37
[8]  
Li yan, 2021, Journal of Computer Applications, P1128, DOI 10.11772/j.issn.1001-9081.2020071135
[9]   Cross-network propagation model of public opinion information and its control in coupled double-layer online social networks [J].
Li, Yun ;
Wang, Jiakun .
ASLIB JOURNAL OF INFORMATION MANAGEMENT, 2022, 74 (02) :354-376
[10]   基于节点从众博弈的社交网络谣言传播模型 [J].
刘亚州 ;
潘晓中 ;
付伟 .
计算机工程, 2018, 44 (10) :303-308+313