[目的/意义]面向大数据研究网络舆情信息异化机理以及控制模型,是政府控制信息异化程度的关键,为政府应对和治理网络舆情提供理论参考依据.[方法/过程]定性分析大数据环境下网络舆情信息异化机理,将网络舆情演化机理模型拓展为信息异化控制模型,并在此基础上通过数值仿真研究政府控制信息异化的分类问题.[结论/结果]经过理论建模和实证分析得出本文构建的信息异化控制模型是可行的,以上理论研究可为政府准确把握大数据环境下网络舆情信息异化程度,制定网络舆情治理策略提供参考依据.%[Purpose/Significance]Facing big data to research the information alienation mechanism and control model of network public opinion, this is the key to control information alienation degree during network public opinion prop?agation, and can provide references of network public opinion management for government.[Method/Process]Through the qualitative analysis of the information alienation mechanism of network public opinion under big data environment, expand?ed the network public opinion evolution mechanism model to information alienation control model, and then researched the classification problem of information alienation control through numerical simulation.[Result/Conclusion]Through theoret?ical modeling and empirical analysis, confirmed the feasibility of information alienation control model in this paper. The a?bove theory research will contribute to accurately grasp the degree of network public opinion information alienation under big data environment, and provide references of network public opinion countermeasures for government.
展开▼
