Modelling and Analyzing the Semantic Evolution of Social Media User Behaviors during Disaster Events: A Case Study of COVID-19
文献类型：期刊论文
| 作者 | Han, Xuehua3,4; Wang, Juanle1,2,3 |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 出版日期 | 2022-07-01 |
| 卷号 | 11期号:7页码:18 |
| 关键词 | semantic evolution spatio-temporal social media user behaviors COVID-19 |
| DOI | 10.3390/ijgi11070373 |
| 通讯作者 | Wang, Juanle(wangjl@igsnrr.ac.cn) |
| 英文摘要 | Public behavior in cyberspace is extremely sensitive to emergency disaster events. Using appropriate methodologies to capture the semantic evolution of social media users' behaviors and discover how it varies across geographic space and time still presents a significant challenge. This study proposes a novel framework based on complex network, topic model, and GIS to describe the topic change of social media users' behaviors during disaster events. The framework employs topic modeling to extract topics from social media texts, builds a user semantic evolution model based on a complex network to describe topic dynamics, and analyzes the spatio-temporal characteristics of public semantics evolution. The proposed framework has demonstrated its effectiveness in analyzing the semantic spatial-temporal evolution of Chinese Weibo user behavior during COVID-19. The semantic change in response to COVID-19 was characterized by obvious expansion, frequent change, and gradual stabilization over time. In this case, there were obvious geographical differences in users' semantic changes, which were mainly concentrated in the capital and economically developed areas. The semantics of users finally focused on specific topics related to positivity, epidemic prevention, and factual comments. Our work provides new insight into the behavioral response to disasters and provides the basis for data-driven public sector decisions. In emergency situations, this model could improve situational assessment, assist decision makers to better comprehend public opinion, and support analysts in allocating resources of disaster relief appropriately. |
| WOS关键词 | NETWORK ; ANALYTICS ; SPACE |
| 资助项目 | Chinese Academy of Sciences[ZDRW-XH-2021-3] ; Construction Project of China Knowledge Center for Engineering Sciences and Technology[CKCEST-2022-1-41] |
| WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000833659000001 |
| 出版者 | MDPI |
| 资助机构 | Chinese Academy of Sciences ; Construction Project of China Knowledge Center for Engineering Sciences and Technology |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/181292]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Juanle |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.Beijing Municipal Inst City Planning & Design, Beijing 100045, Peoples R China |
| 推荐引用方式 GB/T 7714 | Han, Xuehua,Wang, Juanle. Modelling and Analyzing the Semantic Evolution of Social Media User Behaviors during Disaster Events: A Case Study of COVID-19[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2022,11(7):18. |
| APA | Han, Xuehua,&Wang, Juanle.(2022).Modelling and Analyzing the Semantic Evolution of Social Media User Behaviors during Disaster Events: A Case Study of COVID-19.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,11(7),18. |
| MLA | Han, Xuehua,et al."Modelling and Analyzing the Semantic Evolution of Social Media User Behaviors during Disaster Events: A Case Study of COVID-19".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 11.7(2022):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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