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Chunchun Hu, Qin Liang, Nianxue Luo and Shuixiang Lu
Analysis of the spatiotemporal distribution of online public opinion topics can help understand the hotspots of public concern. The topic model is employed widely in public opinion topic clustering for social media data. In order to handle topic-clusteri...
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Ziqi Ren, Zhe Li, Feng Wu, Huiqiang Ma, Zhanjun Xu, Wei Jiang, Shaohua Wang and Jun Yang
Rapid urbanization has led to significant changes in land surface temperature (LST), which in turn affect the urban thermal environment effect and the health of residents. Exploring the causes of the urban thermal environment effect will provide guidance...
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Hui Ren, Peixiao Wang, Wei Guo and Xinyan Zhu
The outbreak of COVID-19 has constantly exposed health care workers (HCWs) around the world to a high risk of infection. To more accurately discover the infection differences among high-risk occupations and institutions, Hubei Province was taken as an ex...
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Jian Liu, Bin Meng, Juan Wang, Siyu Chen, Bin Tian and Guoqing Zhi
The use of social media data provided powerful data support to reveal the spatiotemporal characteristics and mechanisms of human activity, as it integrated rich spatiotemporal and textual semantic information. However, previous research has not fully uti...
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Shuai Chen, Chundong Gao, Dong Jiang, Mengmeng Hao, Fangyu Ding, Tian Ma, Shize Zhang and Shunde Li
As a typical cybercrime, cyber fraud poses severe threats to civilians? property safety and social stability. Traditional criminological theories such as routine activity theory focus mainly on the effects of individual characteristics on cybercrime vict...
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