摘要
【目的/意义】对突发金融舆情事件信息传播过程的多角度分析,有助于把握舆情管理的节奏,提出具有针对性的金融舆情信息管理策略。【方法/过程】通过网络爬虫采集新浪微博数据,使用Gephi、ROST CM6等软件进行社会网络分析和内容分析,对突发金融舆情事件信息的传播网络、关键节点、网民情感分类以及舆情信息内容等进行分析和讨论,以探究突发金融舆情事件信息的传播规律,并提出对应的管理建议。【结果/结论】突发金融舆情事件信息传播规律不同于其他类型的舆情事件,传播网络结构较为分散,信息传播较多依赖意见领袖节点;虽然网民态度较为理性,但关注的信息内容较为分散。【创新/局限】本研究的创新性在于对突发金融舆情事件进行了多角度的分析。局限性有两方面,一是研究样本话题较为单一,导致研究结论的代表性存在局限;二是数据来源平台单一,没有考虑不同平台中金融舆情事件传播的异同。
【Purpose/significance】Multi-angle analysis of the spreading process of financial public opinion events helps to grasp the rhythm of public opinion expectation management, and propose targeted financial public opinion management and control strategies.【Method/progress】This study collected data through web crawlers from Sina Weibo, and used Gephi and ROSTCM6 for social network analysis and content analysis. By analyzing and discussing the dissemination network of financial public opinion, key nodes, netizen sentiment classification, and public opinion information content, we explored the characteristics and laws of the spread of financial public opinion, and put forward corresponding management suggestions.【Result/conclusion】Financial public opinion is different from other types of public opinion events in that the dissemination network structure is relatively scattered, and the dissemination of information mostly relies on opinion leader nodes. Although the attitude of netizens is more rational, the content of the information concerned is more scattered.【Innovation/limitation】The innovation of this study lies in the multi-faceted analysis of unexpected financial public opinion events. The limitations of this study are in two aspects. One is that the research sample topics are relatively single,which leads to limitations in the representativeness of the research conclusions;the other is that the data source platform is single, and the similarities and differences in the dissemination of financial public opinion events on different platforms are not considered.
作者
王雪秋
WANG Xue-qiu(School of Finance,Changchun Guanghua University,Changchun 130033,China)
出处
《情报科学》
CSSCI
北大核心
2021年第4期54-61,共8页
Information Science
基金
吉林省教育厅“十三五”2020年度社会科学研究项目“吉林省农村普惠金融发展的对策研究”(JJKH20201279SK)。
关键词
金融舆情
社会网络分析
舆情传播
情感分类
内容分析
financial public opinion
social network analysis
public opinion dissemination
classification of emotions
content analysis
