Network Agenda Setting and Social Cognition Construction of the Dengue Fever Epidemic Event based on Social Media Big Data

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 互联网大数据与信息安全

	Network Agenda Setting and Social Cognition Construction of the Dengue Fever Epidemic Event based on Social Media Big Data
	Wang YJ(王月娇)1,2 ; Cao ZD(曹志冬)1
	2019-06-15
会议名称	The 23th Pacific Asia Conference on Information Systems
会议日期	2019-7
会议地点	中国西安
摘要	This article collected dengue-related information in China from News, Apps, Forums, Microblog and WeChat. We extract the 100 highest frequency of agenda settings from News, and built agenda setting networks of the five platforms respectively. Social network analysis methods are used to reveal the characteristics of these five agenda setting networks and the QAP is used to test the correlation between them. The robustness analysis of the results is applied. We found that: the information dissemination in dengue can be roughly divided into three categories: epidemic situation and change, prevention and control measures, and epidemic outbreak area; The context of News has the highest similarity with Apps (correlation coefficient=0.9561, p<0.01), the second similarity with WeChat (correlation coefficient=0.8291, p<0.01), the third similarity with Forums (correlation coefficient=0.7916, p<0.01), the lowest similarity with Microblog (correlation coefficient=0. 4280, p<0.01); the QAP is robust, which can be widely used in social media big data research
收录类别	其他
语种	英语
七大方向——子方向分类	社会计算
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/44780
专题	多模态人工智能系统全国重点实验室_互联网大数据与信息安全
通讯作者	Cao ZD(曹志冬)
作者单位	1.中国科学院自动化研究所 2.中国科学院大学
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Wang YJ,Cao ZD. Network Agenda Setting and Social Cognition Construction of the Dengue Fever Epidemic Event based on Social Media Big Data[C],2019.

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