Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (9): 126-133.DOI: 10.3778/j.issn.1002-8331.2002-0086

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Research on False Information Dissemination Model of Strong-Ties Social Media

HUANG Yilei, XIA Zhijie, WANG Yiming   

  1. School of Management, Shanghai University of Engineering Science, Shanghai 201620, China
  • Online:2021-05-01 Published:2021-04-29



  1. 上海工程技术大学 管理学院,上海 201620


Social media is an important channel for people to obtain information at present, but the spreading of misinformation in it has caused social harm, which has puzzled manager. The propagation law of misinformation is studied to reduce the bad social impact caused by misinformation. Misinformation spreading model is established through Multi-Agent modeling method with strong ties social media definition and considering individual heterogeneity and the uncertainty of decision-making behavior. The simulation in various networks is done by using control variable method. The research shows that the initial node degree are not able to completely determine the scope of false information propagation. The length of the mitigating period of the false information dissemination process is related to the network randomness. The distribution of user opinion resonance will affect false information dissemination.

Key words: strong-ties social media, Multi-Agent modeling, D-S theory, simulation



关键词: 强关系型社交媒体, Multi-Agent建模, D-S证据理论, 模拟仿真