NDLI: Spatiotemporal Evolution of the Online Social Network after a Natural Disaster

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Spatiotemporal Evolution of the Online Social Network after a Natural Disaster

Content Provider	MDPI
Author	Shen, Shi Huang, Junwang Cheng, Changxiu Zhang, Ting Murzintcev, Nikita Gao, Peichao
Copyright Year	2021
Description	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.
Starting Page	744
e-ISSN	22209964
DOI	10.3390/ijgi10110744
Journal	ISPRS International Journal of Geo-Information
Issue Number	11
Volume Number	10
Language	English
Publisher	MDPI
Publisher Date	2021-11-02
Access Restriction	Open
Subject Keyword	ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Information and Library Science Spatiotemporal Pattern Social Media Social Network Natural Disaster Scaling Law
Content Type	Text
Resource Type	Article

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