Real-Time Detection of COVID-19 Events From Twitter: A Spatial-Temporally Bursty-Aware Method-Reference-Cited by-同舟云学术

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Real-Time Detection of COVID-19 Events From Twitter: A Spatial-Temporally Bursty-Aware Method

Published:2023-04 Issue:2 Volume:10 Page:656-672
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Fei Gaolei¹^ORCID,Cheng Yong¹,Ma Wanlun²^ORCID,Chen Chao³^ORCID,Wen Sheng²^ORCID,Hu Guangmin¹

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, VIC, Australia

3. College of Science and Engineering, James Cook University, Townsville, QLD, Australia

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/10089892/09769765.pdf?arnumber=9769765

Reference52 articles.

1. Hashtag-Based Sub-Event Discovery Using Mutually Generative LDA in Twitter

2. Learning the parts of objects by non-negative matrix factorization

3. Machine Learning–based Cyber Attacks Targeting on Controlled Information

4. Leveraging Social Context for Modeling Topic Evolution

5. Note on a Method for Calculating Corrected Sums of Squares and Products

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1. conteNXt: A Graph-Based Approach to Assimilate Content and Context for Event Detection in OSN;IEEE Transactions on Computational Social Systems;2024-08

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3. MSCMGTB: A Novel Approach for Multimodal Social Media Content Moderation Using Hybrid Graph Theory and Bio-Inspired Optimization;IEEE Access;2024

4. A Trustworthy Approach to Classify and Analyze Epidemic-Related Information From Microblogs;IEEE Transactions on Computational Social Systems;2024

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