Evaluating Edge Credibility in Evolving Noisy Social Networks-Reference-Cited by-同舟云学术

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Evaluating Edge Credibility in Evolving Noisy Social Networks

Published:2022 Issue: Volume: Page:1-14
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Wang Huan¹,Liu Shun²^ORCID,Ni Qiufen³^ORCID,Gong Zhiguo⁴^ORCID

Affiliation:

1. College of Informatics, Huazhong Agricultural University, China

2. Department of Electrical and Computer Engineering, University of Macau, China

3. School of Computers, Guangdong University of Technology, Guangzhou, China

4. State Key Laboratory of Internet of Things for Smart City, Department of Computer Information Science, University of Macau, Macau, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09956847.pdf?arnumber=9956847

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1. Spatial-temporal deep learning model based rumor source identification in social networks;Journal of Combinatorial Optimization;2023-03-24

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