Title | ||
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A Rumor & Anti-Rumor Propagation Model Based on Data Enhancement and Evolutionary Game |
Abstract | ||
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In social topics, the study of rumor propagation mechanisms is essential to master social behavior. In this paper, aiming to explore the adversarial game relationship between rumor and anti-rumor in the propagation process and considering the sparse of real and effective data in the process of rumor propagation, we propose a rumor propagation model. First, considering the sparse data samples of effective cross-countermeasures in the process of spreading rumor and anti-rumor, a model of unsupervised GAN is used to enhance homomorphism data in the sample space. Second, aiming at the symbiotic and antagonistic game relationship between rumor and anti-rumor, evolutionary game theory is introduced. The internal and external factors that affect user behavior within rumor propagation are comprehensively considered, and a quantitative rumor & anti-rumor mutual influence model is proposed. Finally, considering the dynamic time limit of rumor and anti-rumor propagation life cycle, we herein propose a simple prediction method of rumor topic group behavior based on a dynamic iteration mechanism. Experiments show that our method gets 9-29 percent precision gains over the current methods on different datasets. |
Year | DOI | Venue |
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2022 | 10.1109/TETC.2020.3034188 | IEEE Transactions on Emerging Topics in Computing |
Keywords | DocType | Volume |
Rumor propagation,GAN,anti-rumor,evolutionary game,social network | Journal | 10 |
Issue | ISSN | Citations |
2 | 2168-6750 | 0 |
PageRank | References | Authors |
0.34 | 31 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yunpeng Xiao | 1 | 33 | 10.88 |
Wen Li | 2 | 0 | 0.34 |
Shuai Qiang | 3 | 0 | 0.34 |
Qian Li | 4 | 1 | 5.77 |
Hanchun Xiao | 5 | 0 | 0.34 |
Yanbing Liu | 6 | 155 | 16.38 |