Link Prediction in Time-Evolving Criminal Network With Deep Reinforcement Learning Technique

Link Prediction in Time-Evolving Criminal Network With Deep Reinforcement Learning Technique

The prediction of hidden or missing links in a criminal network, which represent possible interactions between individuals, is a significant problem. The criminal network prediction models commonly rely on Social Network Analysis (SNA) metrics. These models leverage on machine learning (ML) techniqu...

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Bibliographic Details
Main Authors: Marcus Lim, Azween Abdullah, N.Z. Jhanjhi, Muhammad Khurram Khan, Mahadevan Supramaniam
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Social network analysis
link prediction performance
deep reinforcement learning
time-evolving network
Online Access:https://ieeexplore.ieee.org/document/8930491/

Internet

https://ieeexplore.ieee.org/document/8930491/

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