Spatiotemporal Evolution of the Online Social Network after a Natural Disaster
文献类型：期刊论文
| 作者 | Shen, Shi2,4,5; Huang, Junwang2,4,5; Cheng, Changxiu1,2,4,5; Zhang, Ting2,5; Murzintcev, Nikita3; Gao, Peichao2,4,5 |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 出版日期 | 2021-11-01 |
| 卷号 | 10期号:11页码:18 |
| 关键词 | spatiotemporal pattern social media social network natural disaster scaling law |
| DOI | 10.3390/ijgi10110744 |
| 通讯作者 | Cheng, Changxiu(chengcx@bnu.edu.cn) |
| 英文摘要 | Social media has been a vital channel for communicating and broadcasting disaster-related information. However, the global spatiotemporal patterns of social media users' activities, interactions, and connections after a natural disaster remain unclear. Hence, we integrated geocoding, geovisualization, and complex network methods to illustrate and analyze the online social network's spatiotemporal evolution. Taking the super typhoon Haiyan as a case, we constructed a retweeting network and mapped this network according to the tweets' location information. The results show that (1) the distribution of in-degree and out-degree follow power-law and retweeting networks are scale-free. (2) A local catastrophe could attract significant global interest but with strong geographical heterogeneity. The super typhoon Haiyan especially attracted attention from the United States, Europe, and Australia, in which users are more active in posting and forwarding disaster-related tweets than other regions (except the Philippines). (3) The users' interactions and connections are also significantly different between countries and regions. Connections and interactions between the Philippines and the United States, Europe, and Australia were much closer than in other regions. Therefore, the agencies and platforms should also pay attention to other countries and regions outside the disaster area to provide more valuable information for the local people. |
| WOS关键词 | TYPHOON HAIYAN ; MEDIA ; TWITTER ; INFORMATION ; EMERGENCIES ; PATTERNS |
| 资助项目 | National Key Research and Development Plan of China[2017YFB0504102] ; National Key Research and Development Plan of China[2019YFA0606901] ; Fundamental Research Funds for the Central Universities[2019NTST01] ; State Key Laboratory of Earth Surface Processes and Resource Ecology |
| WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000815294600001 |
| 出版者 | MDPI |
| 资助机构 | National Key Research and Development Plan of China ; Fundamental Research Funds for the Central Universities ; State Key Laboratory of Earth Surface Processes and Resource Ecology |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/180074]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cheng, Changxiu |
| 作者单位 | 1.Natl Tibetan Plateau Data Ctr, Beijing 100101, Peoples R China 2.Beijing Normal Univ, Fac Geog Sci, Ctr Geodata & Anal, Beijing 100875, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China 5.Beijing Normal Univ, Key Lab Environm Change & Nat Disaster, Beijing 100875, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shen, Shi,Huang, Junwang,Cheng, Changxiu,et al. Spatiotemporal Evolution of the Online Social Network after a Natural Disaster[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2021,10(11):18. |
| APA | Shen, Shi,Huang, Junwang,Cheng, Changxiu,Zhang, Ting,Murzintcev, Nikita,&Gao, Peichao.(2021).Spatiotemporal Evolution of the Online Social Network after a Natural Disaster.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,10(11),18. |
| MLA | Shen, Shi,et al."Spatiotemporal Evolution of the Online Social Network after a Natural Disaster".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 10.11(2021):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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