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针对网络舆情传播过程中引导与监督不及时的现状,通过组合预测模型,将常用的数据预测模型Logistic模型、指数平滑法模型和灰色GM(1,1)模型结合在一起,利用AHP法进行权重赋值,得出最优化网络舆情数据的预测值。并通过案例进行比较分析,对于网络舆情管控,维护社会稳定具有重要作用。
Aiming at the current situation that the guiding and supervision are not timely in the process of network public opinion dissemination, combining the forecasting model, we combine Logistic model, exponential smoothing model and gray GM (1,1) model, Assignment, come to optimize the network of public opinion data forecast. Through comparative analysis of cases, it plays an important role in network public opinions and control and maintaining social stability.