基于SNA的事故灾难舆情关键用户识别及治理

发布时间：2018-02-04 06:01

本文关键词： 社会网络分析网络舆情关键用户　出处：《情报学报》2017年03期 　论文类型：期刊论文

【摘要】：基于社会网络分析方法(SNA)研究事故灾难舆情传播的网络结构、节点地位对信息的传播效率的影响等问题,力图提出针对关键节点的网络舆情治理策略。以最近的四件重大事故灾难为例,运用Gephi分析信息传播网络拓扑结构,探究事故灾难舆情在网络结构中的相似性,以排除网络结构对舆情传播的影响,进而基于SNA筛选出舆情中的两类关键用户:关键信息发布者、关键事件关注者,并运用武汉大学社会计算平台ROSTCM6分析关键节点及全体网民的情绪演化进程,提出以关键节点为中心的事故灾难舆情治理策略:关键信息发布者ID可作为事故灾难舆情案例库的一项构成成分,进而将舆情治理工作提前到舆情爆发之前,同时,通过其发文内容的情绪控制能够有效引导公众情绪;利用关键事件关注者的情绪预测作用,能够提高网络舆情预警机制的准确度。
[Abstract]:Based on the method of social network analysis, this paper studies the network structure of public opinion communication of accident disaster, the influence of node position on the transmission efficiency of information, and so on. This paper tries to put forward a network public opinion governance strategy for key nodes. Taking the recent four major accidents as an example, Gephi is used to analyze the network topology of information dissemination. Explore the similarity of accident disaster public opinion in the network structure in order to eliminate the influence of network structure on the dissemination of public opinion and then screen out two kinds of key users of public opinion based on SNA: key information publisher. The key event concerns, and the use of Wuhan University social computing platform ROSTCM6 analysis of the key nodes and all Internet users' emotional evolution process. This paper puts forward the strategy of public opinion governance of accident disaster centered on key nodes: the key information publisher ID can be used as a component of the public opinion case base of accident disaster, and then advance the work of public opinion governance to the public opinion before the outbreak of public opinion. At the same time, it can effectively guide the public emotion through the emotional control of the content of the post. The accuracy of the early warning mechanism of network public opinion can be improved by using the emotional prediction function of the key event follower.
【作者单位】：中央财经大学信息学院;
【基金】：国家社会科学基金项目“健全社会公共事件网络舆情监控、预警及治理机制研究”(16BXW045)
【分类号】：G206;TP393.0
【正文快照】： 网络舆情是指在某些网络空间内网民对各种社会现象与问题的观点、建议、感受构成的集合。在网络舆情治理研究中,关键用户通常是引导舆情走向的重要角色,通过识别这类节点能够有效预测与事件相关的公众发声频率、意见表达、信息寻求及信息调度倾向,对深化网络舆情治理研究工作

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