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Developing Cost-Effective Rumor-Refuting Strategy through Game-Theoretic Approach
Huang, Da Wen1; Yang, Lu Xing2; Li, Pengdeng3; Yang, Xiaofan1; Tang, Yuan Yan4
2021-12-01
Source PublicationIEEE Systems Journal
ISSN1932-8184
Volume15Issue:4Pages:5034-5045
Abstract

A rumor about an entity can spread rapidly through online social networks (OSNs), which may lead to serious consequences. This article focuses on developing a cost-effective rumor-refuting strategy in the situation where the rumormonger is strategic. Based on a novel individual-based rumor spreading model, we estimate the expected net benefit of the rumormonger as well as the expected total loss of the rumor victim. On this basis, we reduce the original problem to a differential game-theoretic model. Next, we derive a system for solving the model. By solving the system, we get a dynamic strategy pair. Through extensive comparative experiments, we find that this strategy pair is effective in terms of the solution concept of Nash equilibrium. Hence, we conclude that the rumor-refuting strategy contained in this strategy pair is cost-effective. Finally, we examine the effect of the structure of the OSN on the cost effectiveness of the rumor-supporting and rumor-refuting strategies contained in the proposed strategy pair. To our knowledge, this is the first time the rumor-refuting problem is addressed under the assumption that the rumormonger is strategic.

KeywordCost Effectiveness Differential Game Nash Equilibrium Rumor Refutation Rumor Spreading Model Rumor-refuting Strategy Rumor-supporting Strategy
DOI10.1109/JSYST.2020.3020078
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Engineering ; Operations Research & Management Science ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Operations Research & Management Science ; Telecommunications
WOS IDWOS:000728931100037
Scopus ID2-s2.0-85121664149
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Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorYang, Xiaofan
Affiliation1.Department of Data Science, The School of Big Data and Software Engineering, Chongqing University, Chongqing, 400044, China
2.Department of Cybersecurity, The School of Information Technology, Deakin University, Burwood, Melbourne, 3125, Australia
3.School of Computer Science and Engineering, Nanyang Technological University, Singapore, 639798, Singapore
4.Department of Computer and Information Science, University of Macau, 999078, Macao
Recommended Citation
GB/T 7714
Huang, Da Wen,Yang, Lu Xing,Li, Pengdeng,et al. Developing Cost-Effective Rumor-Refuting Strategy through Game-Theoretic Approach[J]. IEEE Systems Journal, 2021, 15(4), 5034-5045.
APA Huang, Da Wen., Yang, Lu Xing., Li, Pengdeng., Yang, Xiaofan., & Tang, Yuan Yan (2021). Developing Cost-Effective Rumor-Refuting Strategy through Game-Theoretic Approach. IEEE Systems Journal, 15(4), 5034-5045.
MLA Huang, Da Wen,et al."Developing Cost-Effective Rumor-Refuting Strategy through Game-Theoretic Approach".IEEE Systems Journal 15.4(2021):5034-5045.
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