DIEET: Knowledge–Infused Event Tracking in Social Media based on Deep Learning-Reference-Cited by-同舟云学术

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DIEET: Knowledge–Infused Event Tracking in Social Media based on Deep Learning

Published:2024-04-17 Issue:4 Volume:17 Page:2047-2064
ISSN:1936-6442
Container-title:Peer-to-Peer Networking and Applications
language:en
Short-container-title:Peer-to-Peer Netw. Appl.

Author:

Ge Jun,Shi Lei-lei,liu Lu,Han Zi-xuan,Miller Anthony

Funder

the China Postdoctoral Science Foundation

the Natural Science Foundation of the Jiangsu Higher Education Institutions

the National Natural Science Foundation of China

Jiangsu University Innovative Research Project

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12083-024-01677-z.pdf

Reference49 articles.

1. Shi L-L, Liu L, Jiang L, Zhu R, Panneerselvam JJN (2022) QoS prediction for smart service management and recommendation based on the location of mobile users. Neurocomputing 471:12–20

2. Mumin D, Shi L-L, Liu L, Panneerselvam J (2022) Data-driven diffusion recommendation in online social networks for the internet of people. IEEE Trans Syst Man Cybern: Syst 52:166–178

3. Tong J, Shi L, Liu L, Panneerselvam J, Han Z (2022) A novel influence maximization algorithm for a competitive environment based on social media data analytics. Big Data Min Anal 5:130–139

4. Shi L-L et al (2019) Human-Centric Cyber Social Computing Model for Hot-Event Detection and Propagation. IEEE Trans Comput Soc Syst 6(5):1042–1050

5. Rizman Žalik K (2019) Evolution algorithm for community detection in social networks using node centrality. In: Intelligent methods and big data in industrial applications, vol 40. pp 73–87

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