基于双链量子遗传投影寻踪模型的自媒体网络舆情热度与应对等级研究

Research on the Heat and Coping Level of Public Opinion on Self-Media Network by Double Chains Quantum Genetic Projection Pursuit Model

[目的/意义]随着信息技术的进步、移动互联网的发展以及智能手机的普及,自媒体舆情迅速取代传统媒体舆情成为社会舆论场上的主导力量,对社会稳定具有重要的作用。[方法/过程]基于此,该文首先界定了自媒体网络舆情热度的概念,剖析了其影响维度,并总结了其特点;在此基础上,构建了3级12个指标的自媒体网络舆情热度等级的评价体系,采用双链量子遗传投影寻踪模型以“江歌刘鑫事件”为例进行了实证研究。[结果/结论]研究结果表明,自媒体网络舆情热度受关键因素的影响,能够采用应对等级对热度进行有效分级,这将为自媒体网络舆情的引导、预警和治理工作提供理论依据。

[Purpose/Significance]With the advancement of information technology, the development of mobile Internet and the popularity of smart phones, the rapid replacement of traditional media sensation from self-media sensation has become the dominant force in the field of public opinion and plays an important role in social stability.[Method/Process]Therefore, this paper firstly defines the concept of enthusiasm from the self-media network, analyzes its impact dimension, and summarizes its characteristics. Secondly, it builds a three-level and 12-index rating system of self-media network enthusiasm. An empirical study was conducted using the projection pursuit model with an example of "Jiangge Liuxin Incident".[Result/Conclusion]The empirical research results show that the enthusiasm of the media network is affected by the key factors, and the heat level can be effectively graded by the coping level, which will provide a theoretical basis for the guidance, early warning and governance of the self-media network public opinion.