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Fractal interpolation-based forecasting model of rumor spreading situation 基于分形插值的谣言传播态势预测模型
Yongqin Yuan, Qin-ying Wang, Fengming Liu
The study of the spread of rumors is helpful to understand the rumors spread in time so as to predict and block rumors spreading. This paper selects the propagation situation of similar network rumors, uses R/S analysis method to calculate Hurst index, further analyzes the structural characteristics of rumors communication situation, and finds that rumors spreading has the characteristics of state continuity and fractal distribution. Then we set up a fractal interpolation model to depict changes over time and predict the trend in the short term, and found that it is basically consistent with the original data trend. The results show that using the Hurst index to estimate the vertical scale factor and the fractal interpolation model to predict the rumors are feasible and effective, and this paper provides theoretical basis for correctly predicting the development of rumors and further implementing governance.
研究谣言的传播有助于及时了解谣言的传播,从而预测和阻止谣言的传播。本文选取相似网络谣言的传播态势,采用R/S分析法计算Hurst指数,进一步分析谣言传播态势的结构特征,发现谣言传播具有状态连续性和分形分布的特征。然后,我们建立了分形插值模型来描绘随时间的变化并预测短期趋势,发现其与原始数据趋势基本一致。结果表明,利用Hurst指数估算垂直尺度因子和分形插值模型预测谣言是可行有效的,为正确预测谣言的发展和进一步实施治理提供了理论依据。
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Proceedings of the 1st International Conference on Information Management and Management Science
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