Anti-Rumor Dissemination Model Based on Heat Influence and Evolution Game
Jing Chen,
Nana Wei,
Chen Xin (),
Mingxin Liu,
Zeren Yu and
Miaomiao Liu
Additional contact information
Jing Chen: College of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, China
Nana Wei: College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
Chen Xin: College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
Mingxin Liu: College of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, China
Zeren Yu: International Hotel Management, City University of Macau, Macau 999078, China
Miaomiao Liu: College of Computer and Information Technology, Northeast Petroleum University, Qinhuangdao 066004, China
Mathematics, 2022, vol. 10, issue 21, 1-15
Abstract:
Aiming at the problem that the existing rumor dissemination models only focus on the characteristics of rumor dissemination and ignore anti-rumor dissemination, an evolution game model, SDIR, based on heat influence is proposed in this paper. Firstly, in order to solve the problem that rumor and anti-rumor information of emergency events disseminate simultaneously in social networks, the model extracts the factors that affect information dissemination: user behavior characteristics, user closeness and heat influence of participating topics. Secondly, anti-rumor information and an evolutionary game mechanism are introduced into the traditional SIR model, binary information is introduced to analyze the anti-rumor dissemination model SDIR, and the four state transitions and dissemination processes of SDIR are discussed. Finally, the SDIR model is experimentally validated in different datasets and dissemination models. The experimental results show that the SDIR model is in line with the actual dissemination law, and it can be proved that high self-identification ability plays a certain role in suppressing rumors; the anti-rumor information effectively inhibits the spread of rumor information to a certain extent. Compared with other models, the SDIR model is closer to the real diffusion range in the dataset.
Keywords: online social network; evolution game; rumor dissemination; influence maximization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/10/21/4064/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/21/4064/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:21:p:4064-:d:959889
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().