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Dongling Ma, Chunhong Zhang, Liang Zhao, Qingji Huang and Baoze Liu
Monitoring, analyzing, and managing public sentiment surrounding urban emergencies hold significant importance for city governments in executing effective response strategies and maintaining social stability. In this study, we present a study which was c...
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Lingbo Liu, Ru Wang, Weihe Wendy Guan, Shuming Bao, Hanchen Yu, Xiaokang Fu and Hongqiang Liu
Understanding the space-time dynamics of human activities is essential in studying human security issues such as climate change impacts, pandemic spreading, or urban sustainability. Geotagged social media posts provide an open and space-time continuous d...
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Cuimei Lv, Zhaoying Niu, Minhua Ling, Zening Wu, Yang Li and Denghua Yan
Due to the insufficient number and uneven distribution of urban rainfall stations, research on urban flooding disasters is limited. With the development of big data research, many scholars have applied big data to natural disaster research. In this paper...
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Xia Zhang, Danning Xu and Ni Zhang
With the rapid rise of social media, the photo-taking behavior of tourists and their uploaded photos provide a new perspective to explore landscape visual characters. In this study, we provide methodological advancements for assessing landscape visual qu...
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Areej Alsini, Du Q. Huynh and Amitava Datta
Hashtag recommendation suggests hashtags to users while they write microblogs in social media platforms. Although researchers have investigated various methods and factors that affect the performance of hashtag recommendations in Twitter and Sina Weibo, ...
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Peng Ye, Xueying Zhang, An Huai and Wei Tang
Typhoon is one of the most destructive natural disasters in the world. Real-time information on the process of typhoon events serves as important reference for disaster emergency. In the era of big data, microblog text has been gradual applied to the pre...
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Fanhui Meng, Haoming Sun, Jiarong Xie, Chengjun Wang, Jiajing Wu and Yanqing Hu
Preferences or dislikes for specific numbers are ubiquitous in human society. In traditional Chinese culture, people show special preference for some numbers, such as 6, 8, 10, 100, 200, etc. By analyzing the data of 6.8 million users of Sina Weibo, one ...
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Xujian Zhao and Wei Li
Owing to rapid development of the Internet and the rise of the big data era, microblog has become the main means for people to spread and obtain information. If people can accurately predict the development trend of a microblog event, it will be of great...
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Lei Hu, Jun Xu, Chao Bao and Tao Pei
Tourism is playing an important role in the economic development of the Qinghai-Tibet Plateau (QTP). To better develop tourism in this region, the spatial heterogeneity of influencing factors on tourism needs to be studied. Using the spatial distribution...
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Bingqing Wang, Bin Meng, Juan Wang, Siyu Chen and Jian Liu
Social media data contains real-time expressed information, including text and geographical location. As a new data source for crowd behavior research in the era of big data, it can reflect some aspects of the behavior of residents. In this study, a text...
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