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文章针对我国对微博舆情信息老化研究的缺失,利用微博舆情信息峰值对微博舆情信息老化情况作评价,并构建微博舆情信息老化模型,为微博舆情信息的监测提供计算支持。引入非对称洛伦兹曲线模型及层次分析法构建微博舆情信息老化模型,以两则导游辱客新闻为例对模型进行回归,验证模型的可靠性并对实证新闻微博作对比分析。回归结果显示,微博舆情信息老化模型能较好地表示微博舆情信息的老化状况,并有效计算出峰值所在时间,同类型突发事件间峰值发生时间较为接近。
In this paper, aiming at the lack of research on the aging of Weibo public opinion information in our country, we evaluate the aging of Weibo public opinion information by using the peak value of Weibo public opinion information and construct the aging model of Weibo public opinion information to provide the computing support for the monitoring of Weibo public opinion information. The introduction of asymmetric Lorenz curve model and analytic hierarchy process to build a microblogging public opinion information aging model, with two guides shame off the news as an example to regress the model to verify the reliability of the model and comparative analysis of empirical news microblogging. The regression results show that the aging model of microblogging public opinion information can better represent the aging status of microblogging public opinion information and calculate the peak time effectively. The peak occurrence time of the same type of emergencies is relatively close.