Research on COVID-19 network public opinion events based on topic model and community detection algorithm

Yong Huang; Haoyu Wang; Jinjiang Yan; Weijing Huang

doi:10.1117/12.2662583

28 December 2022 Research on COVID-19 network public opinion events based on topic model and community detection algorithm

Yong Huang, Haoyu Wang, Jinjiang Yan, Weijing Huang

Author Affiliations +

Proceedings Volume 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022); 125062R (2022) https://doi.org/10.1117/12.2662583
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2022), 2022, Beijing, China

Abstract

COVID-19 has caused a large number of online public opinion incidents. How to timely and effectively guide the resulting network public opinion has become an urgent problem to be solved. This paper collects more than 130,000 original Weibo posts during the Wuhan “city closure” incident, and analyses the topic characteristics of the incident on the basis of user classification through topic models and community detection algorithms. It was found that during this period, the government responded quickly to the epidemic and gained public support. For different Weibo users, officially certified users mainly publish information about the epidemic and epidemic prevention measures. Personally certified users mainly forwarded and transmitted official information actively, and they also expressed their opinions and made suggestions. Non-certified users actively expressed their emotions and opinions, so they were important users that reflect public opinion.

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Yong Huang, Haoyu Wang, Jinjiang Yan, and Weijing Huang "Research on COVID-19 network public opinion events based on topic model and community detection algorithm", Proc. SPIE 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022), 125062R (28 December 2022); https://doi.org/10.1117/12.2662583

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KEYWORDS

Analytical research

Detection and tracking algorithms

Mining

Internet

Network security

Social networks

Algorithm development

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