Residential College | false |
Status | 已發表Published |
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 Publication | IEEE Systems Journal |
ISSN | 1932-8184 |
Volume | 15Issue: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. |
Keyword | Cost Effectiveness Differential Game Nash Equilibrium Rumor Refutation Rumor Spreading Model Rumor-refuting Strategy Rumor-supporting Strategy |
DOI | 10.1109/JSYST.2020.3020078 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Computer Science ; Engineering ; Operations Research & Management Science ; Telecommunications |
WOS Subject | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Operations Research & Management Science ; Telecommunications |
WOS ID | WOS:000728931100037 |
Scopus ID | 2-s2.0-85121664149 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Science and Technology DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Corresponding Author | Yang, Xiaofan |
Affiliation | 1.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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