摘要
[目的 /意义]构建突发公共卫生事件利益相关者的社会网络情感网络图谱,以可视化的方式分析突发公共卫生事件中各类利益相关者的情感状态和分布,探寻利益相关者之间的情感传播路径,并结合舆情话题综合分析利益相关者的情感演化态势。[方法 /过程]以"魏则西事件"为例,通过微博转发关系构建微博用户的社会关系网络,同时标识各用户的利益相关者类型,并计算用户的情感类型及情感强度嵌入社会网络中构建出社会网络情感图谱。[结果 /结论]普通群众的情绪更强烈且易受意见领袖影响,在事件爆发期和蔓延期,主流媒体和自媒体对普通群众的情感影响较大,在衰退期,政府人员和医护人员的参与增加且情感影响变大。随着舆情的演化,各类利益相关者的主导情感也随着变化,自媒体和企业在情感传播中起重要的桥梁作用。
[ Purpose/significance] Social networks such as microblogs play an important role in disseminating infor- mation and emotions during public health emergencies. This study aims to put forward the design scheme and analysis method of the social network sentiment map of the stakeholders in public health emergencies. The sentiment network map can visualize the emotional state and distribution of stakeholders in public health emergencies. Users can explore and ana- lyze the propagation path and evolution of stakeholders＇ emotions towards the topics in public opinions. [ Method/ process] Taking ＂Wei Zexi incident＂ as an example, this paper constructed the social network of micro-blog users through the forwarding relationship of micro-biog. Meanwhile,identifying the types of stakeholders and calculating the us- ers＇ emotion type and emotional intensity which were used to be embedded into the social network to construct the senti- ment network map. [ Result/conclusion] Firstly, ordinary people are more emotional and easily influenced by opinion leaders. In the outbreak and the spreading period of the event, the mainstream media and we-media have a greater impact on the public emotion. In the recession, the government and heahhcare providers play a more important role in emotional influence. Secondly, with the evolution of public opinions, the dominant emotions of various stakeholders have also changed. Thirdly, we-media and enterprises act as bridges in the dissemination of emotions.
出处
《图书情报工作》
CSSCI
北大核心
2017年第20期120-130,共11页
Library and Information Service
基金
国家自然科学基金项目"突发公共卫生事件社交媒体信息主题演化与影响力建型"(项目编号:71603189)
武汉大学人文社会科学青年学者学术发展计划学术团队"人机交互与协作创新团队"(项目编号:Whu2016020)
教育部人文社会科学研究青年基金项目"突发公共卫生事件情境下社交媒体信息影响力模型与预测研究"(项目编号:16YJC870001)研究成果之一
