Outlier knowledge management for extreme public health events: Understanding public opinions about COVID-19 based on microblog data

Based on complex adaptive system theory and information theory for investigating heterogeneous situations, this paper develops an outlier knowledge management framework based on three aspects—dimension, object, and situation—for dealing with extreme public health events. In the context of the COVID-...

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Detalles Bibliográficos
Autores principales: Xia, Huosong, An, Wuyue, Li, Jiaze, Zhang, Zuopeng (Justin)
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Invited Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477628/
https://www.ncbi.nlm.nih.gov/pubmed/32921839
http://dx.doi.org/10.1016/j.seps.2020.100941

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477628/
https://www.ncbi.nlm.nih.gov/pubmed/32921839
http://dx.doi.org/10.1016/j.seps.2020.100941

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