Dynamic Characteristics and Evolution Analysis of Information Dissemination Theme of Social Networks under Emergencies
Social media has become an essential channel for the public to create and obtain information during emergencies. As the theme of public concern for emergencies changes over time, there is a lack of research on its dynamic evolution from its latent stage. This paper selects the Henan rainstorm event...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Behavioral Sciences |
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| Online Access: | https://www.mdpi.com/2076-328X/13/4/282 |
| _version_ | 1797606386305073152 |
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| author | Yuan Zhang Yanxi Xie Victor Shi Ke Yin |
| author_facet | Yuan Zhang Yanxi Xie Victor Shi Ke Yin |
| author_sort | Yuan Zhang |
| collection | DOAJ |
| description | Social media has become an essential channel for the public to create and obtain information during emergencies. As the theme of public concern for emergencies changes over time, there is a lack of research on its dynamic evolution from its latent stage. This paper selects the Henan rainstorm event as a case study and extracts the theme characteristics by combining the life cycle theory and Latent Dirichlet Allocation (LDA) model. It integrates the Term Frequency–Inverse Document Frequency (TF-IDF) and Pointwise Mutual Information (PMI) algorithms as the theme-coding data source to build a dynamic theme propagation model for emergencies. Our research results showed that the theme coding effectively verified the assumption of latent development trends. The dynamic theme model could reveal the theme characteristics of different time series stages of emergencies, analyze the law of the theme evolution of the network’s public opinion, and provide practical and theoretical insights for the emergency management of urban cities. |
| first_indexed | 2024-03-11T05:14:27Z |
| format | Article |
| id | doaj.art-dbb6928a9ddb4d0db843c481ae3bfbc4 |
| institution | Directory Open Access Journal |
| issn | 2076-328X |
| language | English |
| last_indexed | 2024-03-11T05:14:27Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Behavioral Sciences |
| spelling | doaj.art-dbb6928a9ddb4d0db843c481ae3bfbc42023-11-17T18:20:34ZengMDPI AGBehavioral Sciences2076-328X2023-03-0113428210.3390/bs13040282Dynamic Characteristics and Evolution Analysis of Information Dissemination Theme of Social Networks under EmergenciesYuan Zhang0Yanxi Xie1Victor Shi2Ke Yin3School of Management, Shanghai University of Engineering Science, Shanghai 201620, ChinaSchool of Management, Shanghai University of Engineering Science, Shanghai 201620, ChinaLazaridis School of Business & Economics, Wilfrid Laurier University, Waterloo, ON N2L 3C5, CanadaSchool of Management, Shanghai University of Engineering Science, Shanghai 201620, ChinaSocial media has become an essential channel for the public to create and obtain information during emergencies. As the theme of public concern for emergencies changes over time, there is a lack of research on its dynamic evolution from its latent stage. This paper selects the Henan rainstorm event as a case study and extracts the theme characteristics by combining the life cycle theory and Latent Dirichlet Allocation (LDA) model. It integrates the Term Frequency–Inverse Document Frequency (TF-IDF) and Pointwise Mutual Information (PMI) algorithms as the theme-coding data source to build a dynamic theme propagation model for emergencies. Our research results showed that the theme coding effectively verified the assumption of latent development trends. The dynamic theme model could reveal the theme characteristics of different time series stages of emergencies, analyze the law of the theme evolution of the network’s public opinion, and provide practical and theoretical insights for the emergency management of urban cities.https://www.mdpi.com/2076-328X/13/4/282emergenciestopic dynamic evolutionhidden Dirichlet distributiononline public opinionlife cycle theory |
| spellingShingle | Yuan Zhang Yanxi Xie Victor Shi Ke Yin Dynamic Characteristics and Evolution Analysis of Information Dissemination Theme of Social Networks under Emergencies Behavioral Sciences emergencies topic dynamic evolution hidden Dirichlet distribution online public opinion life cycle theory |
| title | Dynamic Characteristics and Evolution Analysis of Information Dissemination Theme of Social Networks under Emergencies |
| title_full | Dynamic Characteristics and Evolution Analysis of Information Dissemination Theme of Social Networks under Emergencies |
| title_fullStr | Dynamic Characteristics and Evolution Analysis of Information Dissemination Theme of Social Networks under Emergencies |
| title_full_unstemmed | Dynamic Characteristics and Evolution Analysis of Information Dissemination Theme of Social Networks under Emergencies |
| title_short | Dynamic Characteristics and Evolution Analysis of Information Dissemination Theme of Social Networks under Emergencies |
| title_sort | dynamic characteristics and evolution analysis of information dissemination theme of social networks under emergencies |
| topic | emergencies topic dynamic evolution hidden Dirichlet distribution online public opinion life cycle theory |
| url | https://www.mdpi.com/2076-328X/13/4/282 |
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