A Measurement-Driven Analysis and Prediction of Content Propagation in the Device-to-Device Social Networks-Reference-Cited by-同舟云学术

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A Measurement-Driven Analysis and Prediction of Content Propagation in the Device-to-Device 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:

Zhang Heng¹^ORCID,Huang Shaoyuan¹^ORCID,Wang Xin²^ORCID,Li Jianxin³^ORCID,Wang Xiaofei¹^ORCID,Leung Victor C. M.⁴^ORCID

Affiliation:

1. Tianjin Key Laboratory of Advanced Networking, College of Intelligence and Computing, Tianjin University, Tianjin, China

2. Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China

3. School of Information Technology, Deakin University, Burwood, VIC, Australia

4. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09939077.pdf?arnumber=9939077

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. QM-RGNN: An Efficient Online QoS Measurement Framework with Sparse Matrix Imputation for Distributed Edge Clouds;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

2. pFedKT: Personalized federated learning with dual knowledge transfer;Knowledge-Based Systems;2024-05

3. Social tie-driven coupling propagation of user awareness and information in Device-to-Device communications;Computer Networks;2023-12

4. FedGH: Heterogeneous Federated Learning with Generalized Global Header;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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