A prediction model for rumor user propagation behavior based on sparse representation and transfer learning-Reference-Cited by-同舟云学术

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A prediction model for rumor user propagation behavior based on sparse representation and transfer learning

Published:2024-06 Issue: Volume:670 Page:120590
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Xiao Yunpeng^ORCID,Zhang Yu,Zeng Cong,Li Tun,Wang Rong,Li Qian,Jia Chaolong

Publisher

Elsevier BV

Reference33 articles.

1. The characteristics of rumor spreaders on Twitter: a quantitative analysis on real data;Bodaghi;Comput. Commun.,2020

2. N2vscdnnr: a local recommender system based on node2vec and rich information network;Chen;IEEE Trans. Comput. Soc. Syst.,2019

3. Taxonomy and evaluation for microblog popularity prediction;Gao;ACM Trans. Knowl. Discov. Data,2019

4. Aaas video series focuses on combating misinformation;Ham;Science,2021

5. Developing cost-effective rumor-refuting strategy through game-theoretic approach;Huang;IEEE Syst. J.,2020

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