摘要
以台风“山竹”为例,基于微博数据,综合运用社会网络分析、文本情感分析等方法,分析网民情感传播网络的结构特征、传播层次及路径,探究关键节点的情感影响力和传播路径上的情感变化,并总结出网民情感传播特征。研究结果表明:可预测性灾害中灾前阶段的网民情感传播最为活跃,变化也更为复杂;网民情感传播路径较长,情感倾向会受到多个传播节点直接和间接的综合影响;网民情感传播路径上转发量较大的关键节点对网民情感的影响力更为显著。
Taking the typhoon“Mangosteen”as an example,based on the Weibo data,using social network analysis,text emotion analysis and other methods,this paper analyzes the structural characteristics,communication levels and paths of netizens’emotional communication network,explores the emotional influence of key nodes and the emotional changes on the communication path,and summarizes the characteristics of netizens’emotional communication.The results of the study include:the Netizens’emotional communication in the pre-disaster stage is the most active and the changes are more complex;netizens’emotional communication path is long,and their emotional tendency will be directly and indirectly affected by multiple communication nodes;the key nodes with a large amount of forwarding on the emotional communication path of netizens have a more significant impact on netizens’emotions.
作者
沈洪洲
马巧慧
张一涵
SHEN Hongzhou;MA Qiaohui;ZHANG Yihan(School of Management,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;Research Center for Information Industry Integration,Innovation and Emergency Management,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
出处
《南京邮电大学学报(社会科学版)》
2022年第4期46-57,共12页
Journal of Nanjing University of Posts and Telecommunications(Social Science Edition)
基金
国家自然科学基金资助项目“信息生态链视角下面向公众的应急信息协同机制与优化策略研究”(71974102)
江苏省研究生科研与实践创新计划项目“可预测性灾害中网络舆情特征及引导策略研究”(KYCX19_0996)。
关键词
可预测性灾害
网络舆情
情感传播
社会网络分析
情感分析
predictable disaster
internet public opinion
emotional communication
social network analysis
emotion analysis