微博舆情信息老化测度研究  

Research on the Weakness Measurement of Weibo Public Opinion Information

作　　者：黄微[1] 王洁晶[1] 赵江元 Huang Wei;Wang Jiejing;Zhao Jiangyuan(School of Management, Jilin University, Changchun, 130022)

机构地区：[1]吉林大学管理学院,长春130022

出　　处：《情报资料工作》2017年第6期6-11,共6页Information and Documentation Services

基　　金：国家自然科学基金面上项目"大数据环境下多媒体网络舆情信息的语义识别与危机响应研究"(编号:71473101)的成果之一

摘　　要：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 view of the lack of research on the aging of public opinion information in microblogging, the authors use mieroblogging public opinion information to evaluate the aging of public opinion information of microblogging, and con- struct the microblogging public opinion information aging model to provide microblogging public opinion information computational support. The asymmetric Lorentz curve model and the analytic hierarchy process were used to construct the microblogging public opinion information aging model, and the two guides were used as an example to return the model to verify the reliability of the model. The regression results show that the microblogging public opinion informa- tion aging model can better express the microblogging public opinion information aging situation, and effectively calcu- late the peak time;the same type of unexpected events between the peak time is closer.

关 键 词：微博 舆情 信息老化 

分 类 号：G206[文化科学—传播学]