An Information Dissemination Model Based on the Rumor and Anti-Rumor and Stimulate-Rumor and Tripartite Cognitive Game

被引:22
作者
Li, Qian [1 ]
Xiang, Tiancheng [1 ]
Dai, Tianji [1 ]
Xiao, Yunpeng [1 ]
机构
[1] Chongqing Univ Posts & Telecommun, Sch Software Engn, Chongqing 400065, Peoples R China
基金
中国国家自然科学基金;
关键词
Anti rumor; cognitive game; communication dynamics; rumor spread; stimulate rumor; DIFFUSION; PROPAGATION; NEWS;
D O I
10.1109/TCDS.2022.3193576
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This study proposes a tripartite cognitive model of information dissemination based on the symbiosis and antagonism of multiple types of messages, as well as the polymorphism of the user cognitive process under the influence of multimessages. To begin, the euphoric state induced by users' exposure to multimessages is proposed, which can be used to more realistically describe the complex psychological state of users during the cognitive game of multimessages. Second, the tripartite cognitive game theory is used to construct the user's state transformation drive force. Meanwhile, the information entropy is introduced to further quantify message forwarding drive force, taking into account differences in the amount of information that users' cognitive processes transform. Finally, a comprehensive macromodel based on the tripartite cognitive game and the rumor and anti-rumor and stimulate-rumor information dissemination model is proposed. Meanwhile, the Lotka-Voltaila equation is used to analyze and evaluate the coexistence/confrontation relationship of multimessages and the game state of the user cognitive process from a microperspective. Experiments show that the model can not only depict the coexistence/confrontation relationship of multiple messages, but it can also perceive the game situation of multiple messages.
引用
收藏
页码:925 / 937
页数:13
相关论文
共 41 条
[1]  
Abuzainab N., 2018, ARXIV
[2]  
[Anonymous], 2018, 2018 ALTMETRIC TOP 1
[3]   Emotion shapes the diffusion of moralized content in social networks [J].
Brady, William J. ;
Wills, Julian A. ;
Jost, John T. ;
Tucker, Joshua A. ;
Van Bavel, Jay J. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (28) :7313-7318
[4]   Learning Multiple Factors-Aware Diffusion Models in Social Networks [J].
Chou, Chung-Kuang ;
Chen, Ming-Syan .
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2018, 30 (07) :1268-1281
[5]  
De Choudhury Munmun., 2010, AAAI Conference on Weblogs and Social Media, P34
[6]   A mathematical model of news propagation on online social network and a control strategy for rumor spreading [J].
Dhar, Joydip ;
Jain, Ankur ;
Gupta, Vijay K. .
SOCIAL NETWORK ANALYSIS AND MINING, 2016, 6 (01)
[7]   An Efficient Hybrid Control Strategy for Restraining Rumor Spreading [J].
Ding, Li ;
Hu, Ping ;
Guan, Zhi-Hong ;
Li, Tao .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (11) :6779-6791
[8]   Taxonomy and Evaluation for Microblog Popularity Prediction [J].
Gao, Xiaofeng ;
Cao, Zhenhao ;
Li, Sha ;
Yao, Bin ;
Chen, Guihai ;
Tang, Shaojie .
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2019, 13 (02)
[9]   Fake news on Twitter during the 2016 US presidential election [J].
Grinberg, Nir ;
Joseph, Kenneth ;
Friedland, Lisa ;
Swire-Thompson, Briony ;
Lazer, David .
SCIENCE, 2019, 363 (6425) :374-+
[10]   Cost-Efficient Strategies for Restraining Rumor Spreading in Mobile Social Networks [J].
He, Zaobo ;
Cai, Zhipeng ;
Yu, Jiguo ;
Wang, Xiaoming ;
Sun, Yunchuan ;
Li, Yingshu .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (03) :2789-2800