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Temporal and spatial evolution of online public sentiment on emergencies

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成果类型:
期刊论文
作者:
Li, Shiyue;Liu, Zixuan;Li, Yanling*
通讯作者:
Li, Yanling
作者机构:
[Li, Shiyue] Tsinghua Univ, Sch Humanities, Beijing, Peoples R China.
[Li, Yanling; Liu, Zixuan] Hunan Agr Univ, Coll Publ Adm & Law, Room North 318,Tenth Bldg,1 Nongda Rd, Changsha 410128, Hunan, Peoples R China.
[Li, Yanling] Nanyang Technol Univ, Coll Humanities Arts & Social Sci, Singapore, Singapore.
通讯机构:
[Li, Yanling] H
Hunan Agr Univ, Coll Publ Adm & Law, Room North 318,Tenth Bldg,1 Nongda Rd, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
Emergency;Online public sentiment;Space-time evolution;Social network analysis;Complex system simulation
期刊:
Information Processing & Management
ISSN:
0306-4573
年:
2020
卷:
57
期:
2
页码:
102177
基金类别:
This work was supported by the National Social Science Fund Youth Project in China [grant number 16CGL062 ]; the National Natural Science Foundation of China [grant number 71874052 ]; and the The National High-level University Public Postgraduate Porgram in China[grant number 201706720016] for the interpretation of data and revision of the article. The funder had no role either in the study design, collection, analysis, and the writing of the report or in the decision to submit the article for publication.
机构署名:
本校为通讯机构
院系归属:
公共管理与法学学院
摘要:
The transmission of online emergency information has become an active means of expressing public opinion and has vitally affected societal emergency response techniques. This paper analyzes interactions between three groups in time and space using a classic SIR (susceptible, infected, and recovered) epidemic model. Through social network theory and analog simulation analysis, we utilize data from China's Sina Weibo (a popular social media platform) to conduct empirical research on 101 major incidents in China that occurred between 2010 and 2017...

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