Deep reinforcement learning-based approach for rumor influence minimization in social networks

Spreading malicious rumors on social networks such as Facebook, Twitter, and WeChat can trigger political conflicts, sway public opinion, and cause social disruption. A rumor can spread rapidly across a network and can be difficult to control once it has gained traction.Rumor influence minimization...

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Detalles Bibliográficos
Autores principales: Jiang, Jiajian, Chen, Xiaoliang, Huang, Zexia, Li, Xianyong, Du, Yajun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072046/
https://www.ncbi.nlm.nih.gov/pubmed/37363387
http://dx.doi.org/10.1007/s10489-023-04555-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072046/
https://www.ncbi.nlm.nih.gov/pubmed/37363387
http://dx.doi.org/10.1007/s10489-023-04555-y

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