Xi'an network attention measurement in the post-epidemic era
2021 International Conference on Statistics, Applied Mathematics, and Computing Science, CSAMCS 2021
; 12163, 2022.
Article
in English
| Scopus | ID: covidwho-1901894
ABSTRACT
Based on Baidu index data and the development timeline of COVID-19 in China, this study analyzes the spatial and temporal distribution pattern of network attention in Xi'an under epidemic prevention and control. The results show that 1) In 2020, the network attention of Xi ' an affected by the epidemic is low. The trend of monthly network attention in the year is consistent with the time axis of domestic epidemic development, showing a ' double peak and double valley ' mode, and it is high in summer and autumn, and low in winter and spring. On the holidays, the attention increased before the festival, and the ' May 1 ' reached the peak one day before the festival, and the ' Eleventh ' reached the peak on the third day of the festival, showing a clear ' blowout ' trend. 2) The spatial distribution of Xi'an network attention is scattered, and shows the characteristics of high network attention in Henan, Sichuan and other surrounding provinces and Guangdong, Jiangsu, Zhejiang and other coastal economic developed areas. © COPYRIGHT SPIE.
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2021 International Conference on Statistics, Applied Mathematics, and Computing Science, CSAMCS 2021
Year:
2022
Document Type:
Article
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