Multistage Competitive Opinion Maximization With Q-Learning-Based Method in Social Networks-Reference-Cited by-同舟云学术

Multistage Competitive Opinion Maximization With Q-Learning-Based Method in Social Networks

Published:2024 Issue: Volume: Page:1-11
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

He Qiang¹^ORCID,Zhang Li¹,Fang Hui²,Wang Xingwei³^ORCID,Ma Lianbo⁴^ORCID,Yu Keping⁵^ORCID,Zhang Jie⁶

Affiliation:

1. College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China

2. Research Institute for Interdisciplinary Sciences and the Key Laboratory of Interdisciplinary Research of Computation and Economics, Shanghai University of Finance and Economics, Shanghai, China

3. College of Computer Science and Engineering, Northeastern University, Shenyang, China

4. College of Software Engineering, Northeastern University, Shenyang, China

5. Graduate School of Science and Engineering, Hosei University, Tokyo, Japan

6. School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Shanghai Rising-Star Program

Liaoning Provincial Department of Science and Technology Joint Planning Project

Natural Science Foundation of Shanghai

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10526287.pdf?arnumber=10526287

Cited by 2 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. Hypergraph-Based Influence Maximization in Online Social Networks;Mathematics;2024-09-07

2. Resource Control in Active IRS-Aided 6G IoT Networks with Use Case in Smart Indoor Communication;Journal of Circuits, Systems and Computers;2024-07-12