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| Research on the Topic Clustering Graph and the Transmission Path of Micro-blogging Users amid COVID-19 Based on the LDA Model |
| Zhang Liu1, Wang Xiwei1,2,3,5, Huang Bo4, Liu Tingyan1 |
1.School of Management, Jilin University, Changchun 130022
2.Research Center for Big Data Management, Jilin University, Changchun 130022
3.Research Center of Cyberspace Governance, Jilin University, Changchun 130022
4.School of Computer Science and Technology, Jilin University, Changchun 130022
5.Academy of Northeast Revitalization, Jilin University, Changchun 130022 |
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Abstract The topic clustering graph of micro-blogging users of the “Japan Diamond Princess” based on the Latent Dirichlet Allocation (LDA) model can more accurately and effectively identify the topic characteristics and opinion leaders of micro-blogging users. Further, it can analyze the topic transmission path between network communities during the pandemic, thereby helping the public opinion supervision department conduct more effective guidance and supervision of public opinion. Based on the LDA model, this paper builds the topic clustering graph of micro-blogging users amid the COVID-19 pandemic. In doing so, it uses the perplexity evaluation index to determine the optimal number of topics and their distribution for micro-blogging users, and uses the network users to forward comments to build a micro-blogging user topic cluster graph. Additionally, it puts forward the analysis method of the topic transmission path among the network communities, combined with the topic of public opinion during the global COVID-19 pandemic, the “Japan Diamond Princess.” Thus, this study aims to determine the topic of the micro-blogging user group, identify the subject opinion leaders, and analyze the topic transmission path among network communities under this topic. The research results show that based on the LDA model, it is possible to identify the topic of the online community and discover the derived public opinion topics. Through the identification of opinion leaders, it is possible to guide public opinion more efficiently. Through the analysis of the topic transmission path of the online community and topic push, the better guidance of public opinion and network ecological governance can be achieved.
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Received: 30 April 2020
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