Exploiting 5G Enabled Cognitive Radio Technology for Semantic Analysis in Social Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-023-10829-y.pdf
Reference25 articles.
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2. Liu, X., Zhang, Y., Yejun, Xu., Li, M., & Herrera-Viedma, E. (2023). A consensus model for group decision-making with personalized individual self-confidence and trust semantics: A perspective on dynamic social network interactions. Information Sciences, 627, 147–168. https://doi.org/10.1016/j.ins.2023.01.087
3. Ramakrishna, M. T., et al. (2023). HCoF: Hybrid collaborative filtering using social and semantic suggestions for friend recommendation. Electronics, 12(6), 1365. https://doi.org/10.3390/electronics12061365
4. Li, H., Song, J. B., Chen, C.-F., Lai, L., & Qiu, R. C. (2014). Behavior propagation in cognitive radio networks: A social network approach. IEEE Transactions on Wireless Communications, 13(2), 646–657. https://doi.org/10.1109/TW.2013.121813.121964
5. Deng, Y., Gou, F., & Wu, J. (2021). Hybrid data transmission scheme based on source node centrality and community reconstruction in opportunistic social networks. Peer-to-Peer Networking and Applications, 14, 3460–3472. https://doi.org/10.1007/s12083-021-01205-3
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