大数据环境下网络舆情信息交互模型研究  

The Research on Information Interaction Model of Network Public Opinion under Big Data Environment

作　　者：夏一雪[1] 兰月新[1] 刘冰月[2] 瞿志凯 

机构地区：[1]中国人民武装警察部队学院,河北廊坊065000 [2]天津交通职业学院,天津300132

出　　处：《现代情报》2017年第11期3-9,16,共8页Journal of Modern Information

基　　金：国家社会科学基金青年项目"面对舆情大数据的突发事件民意分析与决策支持研究"(项目编号:17CXW015);河北省社会科学基金项目"面向突发事件的政务微媒体影响力提升策略研究"(项目编号:HB17XW025)

摘　　要：[目的/意义]面向大数据研究多个网络传播平台之间网络舆情信息交互模型,能够准确把握大数据环境下网络舆情演化趋势以及网络信息在多个平台之间的传播规律,为政府治理网络舆情提供参考依据。[方法/过程]定性分析大数据环境下网络舆情信息交互机理,通过定义交互系数,基于微分方程理论构建网络舆情信息交互模型,并应用差分回归法对各个媒体平台的网络舆情信息交互趋势开展预测。[结论/结果]经过理论建模和实证分析得出本文构建的信息交互模型及趋势预测方法是可行的,以上理论研究可为政府准确把握大数据环境下网络舆情演化规律,制定网络舆情治理对策提供参考依据。[Purpose/Significance] Facing big data to research the information interaction model of network public opinion between multiple network communication platforms,this will accurately grasp the evolution trend of network public opinion and the propagation regularity of network information between multiple platforms under big data environment,and then provide references of network public opinion management for government. [Method/Process] Through the qualitative analysis of the information interaction mechanism of network public opinion under big data environment,defined the interaction coefficient,established the information interaction model based on the theory of differential equation,and used differential recursive scheme to predict network public opinion information interaction trend on multiple platforms. [Result/Conclusion] Through theoretical modeling and empirical analysis,confirmed the feasibility of information interaction model and trend prediction method in this paper. The above theory research will contribute to accurately grasp network public opinion evolution under big data environment,and provided references of network public opinion countermeasures for government.

关 键 词：大数据 网络舆情 信息交互 模型 趋势预测 

分 类 号：G203[文化科学—传播学] C912.6[经济管理]