谣言
计算机科学
社会化媒体
互联网
噪音(视频)
开放的体验
构造(python库)
数学优化
数学
人工智能
计算机网络
万维网
心理学
社会心理学
公共关系
图像(数学)
政治学
摘要
The openness and convenience of social media lead to disturbance or 'noise' in the network environment during the spreading of Internet rumors, which adds uncertainties to the spreading. The Wiener process in probability theory has often been used in previous studies to describe disturbances in the spreading of rumors. However, it has been demonstrated that there are shortcomings in the random rumor spreading equation. To solve this problem, in this study, the uncertainty theory is introduced to this field. Specifically, we construct an uncertain rumor spreading model and then calculate the analytical solution of the uncertain rumor spreading equation and the inverse uncertainty distribution of the solution. Finally, a numerical simulation is carried out with rumor spreading data obtained from WeChat, Weibo, and other social media platforms to verify the validity of the proposed uncertain rumor spreading equation.
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