Reinforcement-Learning-Based Dynamic Opinion Maximization Framework in Signed Social Networks-Reference-Cited by-同舟云学术

Reinforcement-Learning-Based Dynamic Opinion Maximization Framework in Signed Social Networks

Published:2023-03 Issue:1 Volume:15 Page:54-64
ISSN:2379-8920
Container-title:IEEE Transactions on Cognitive and Developmental Systems
language:
Short-container-title:IEEE Trans. Cogn. Dev. Syst.

Author:

He Qiang¹^ORCID,Lv Yingjie¹,Wang Xingwei²^ORCID,Li Jianhua¹,Huang Min³,Ma Lianbo⁴^ORCID,Cai Yuliang⁵^ORCID

Affiliation:

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

2. State Key Laboratory of Synthetical Automation for Process Industries, College of Computer Science and Engineering, Northeastern University, Shenyang, China

3. State Key Laboratory of Synthetical Automation for Process Industries, College of Information Science and Engineering, Northeastern University, Shenyang, China

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

5. College of Information Science and Engineering, Northeastern University, Shenyang, China

Funder

National Natural Science Foundation of China

Liaoning Revitalization Talents Program

Key Project of Natural Science Foundation of China

NFSC through the Major International (Regional) Joint Research Project

Science and Technology Planning Project of Shenyang City

Doctor Startup Foundation of Liaoning Province

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Software

Link

http://xplorestaging.ieee.org/ielx7/7274989/10061504/09676712.pdf?arnumber=9676712

Reference61 articles.

1. TIFIM: A Two-stage Iterative Framework for Influence Maximization in Social Networks

2. Social influence maximization under empirical influence models

3. Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate

4. Reprint of: The anatomy of a large-scale hypertextual web search engine

5. Adaptive Influence Maximization

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