Social Cognition Construction of the Avian Flu based on Social Media Big Data
文献类型:会议论文
作者 | Yuejiao Wang; Zhidong Cao |
出版日期 | 2019 |
会议日期 | 1-3 July 2019 |
会议地点 | Shenzhen, China, |
英文摘要 | During the high incidence of avian flu, the mainstream media and social media report a lot on the epidemic, mobilizing the people to prevent and control avian flu. This paper collects reports on avian flu from News, Forums, Apps, WeChat and Microblog and forms five data sets. We extract agenda-settings from the News dataset and build agenda-setting networks of the five datasets. Then we use the QAP test to verify the relevance of these agenda-setting networks. We also project the agenda-setting dissimilarity matrices into a two-dimensional space using the MDS method to form cognitive maps, analyzing the cognitive drift of media platforms relative to News. Results show that the agenda-setting networks of Apps and News have the highest correlation coefficient of 0.9193, while Microblog and News have the lowest correlation coefficient of 0.5611. The cognitive maps of Apps, Forum and WeChat have a slight translation and rotation relative to the cognitive map of News. But their relative positional relationship among agenda-settings are similar with News, expect Microblog. |
语种 | 英语 |
源URL | [http://ir.ia.ac.cn/handle/173211/26107] |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 |
通讯作者 | Zhidong Cao |
作者单位 | State Key Laboratory of Management and Control for Complex Systems,Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Yuejiao Wang,Zhidong Cao. Social Cognition Construction of the Avian Flu based on Social Media Big Data[C]. 见:. Shenzhen, China,. 1-3 July 2019. |
入库方式: OAI收割
来源:自动化研究所
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