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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-...
Autores principales: | Xia, Huosong, An, Wuyue, Li, Jiaze, Zhang, Zuopeng (Justin) |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
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 |
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