Abstract
When a disaster occurs, a large number of images and texts attached geographic information often flood the social network in the Internet quickly. All these information provide a new data source for timely awareness of disaster situations. However, due to the regional variation in the number of social media users and characteristics of information propagate in cyberspace, new problems arose in the pattern analysis of spatial point process represented by the check-in data, such as the correlation between check-in points density and disasters events density, the spatial relation between check-in points, the spatial heterogeneity of point pattern and associated influences. In this study, we took the No. 201614 Typhoon as an example and collected Sina Weibo data between September 14 and September 17, 2016 using keywords “Typhoon” and “Meranti”. We classified the Weibo texts using Support Vector Machine(SVM) algorithms, and constructed a disaster database containing relevant check-in information. In addition, considering the spatial heterogeneity of Weibo users, we proposed a weighted model based on user activity at the check-in points. Using Moran’s I of the global autocorrelation statistics, we compared the check-in data before and after adding weights and discovered obvious spatial autocorrelation of the check-in data in real geographical locations. We tested our model on Weibo data with keyword “rain” and “power failure”. The results show that series map generated by our model can reflect the typhoon disaster spatio-temporal process trends well.
Highlights
Sina Weibo is a micro-blogging service that counts with millions of users from all over the china
It allows users to post and exchange 140-character-long messages, Sina Weibo is used through a wide variety of clients[1], from which a large portion-about 90% of active users correspond to mobile users
After typhoon "Haiyan" was landed on 30th, 2013, many first-hand information and statistical information came from social media, including the release of news information and rescue information and the release of disaster emotions[2]; In 2013, the Lushan earthquake in Ya’an city, Weibo became the main communication platform for various kinds of information, and the government official used Weibo as an important information release platform
Summary
Sina Weibo is a micro-blogging service that counts with millions of users from all over the china. Sina Weibo facilitates real-time propagation of information to a large group of users. This makes it an ideal environment for the dissemination of breaking-news directly from the news source and geographical location of events. Make it one of the research hotspots for disaster emergency management. Many scholars explored the mechanism and role of disaster events in social media They pointed out that social media can be a public engagement platform for citizens, cooperation and NGO to participate in the government-led disaster emergency management in a quickly way[4,5]
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