Crowdsourcing Based Description of Urban Emergency Events Using Social Media Big Data

IEEE Transactions on Cloud Computing

Volumn 8, Issue 2, 2020, Pages 387-397

  Xu, Zheng ^a   Liu, Yunhuai ^a   Yen, Neil Y ^b   Mei, Lin ^a   Luo, Xiangfeng ^c   Wei, Xiao ^d   Hu, Chuanping ^a  

^a INSTITUTE OF FORENSIC SCIENCE   (China)

^b UNIVERSITY OF AIZU   (Japan)

^c SHANGHAI UNIVERSITY   (China)

^d SHANGHAI INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Big data; Crowdsourcing; Emergency events; Social media; Urban computing

Indexed keywords

BIG DATA; CROWDSOURCING; TRAFFIC CONGESTION;

CASE-STUDIES; EMERGENCY EVENTS; HETEROGENEOUS DATA; SOCIAL MEDIA; SPECIFIC LOCATION; TEMPORAL INFORMATION; TRAFFIC JAMS; URBAN SPACES;

SOCIAL NETWORKING (ONLINE);

EID: 85086766707     PISSN: None     EISSN: 21687161     Source Type: Journal    
DOI: 10.1109/TCC.2016.2517638     Document Type: Article

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