Node Significance Analysis in Complex Networks Using Machine Learning and Centrality Measures
The study addresses the limitations of traditional centrality measures in complex networks, especially in disease-spreading situations, due to their inability to fully grasp the intricate connection between a node’s functional importance and structural attributes. To tackle this issue, th...
Main Authors: | Koduru Hajarathaiah, Murali Krishna Enduri, Satish Anamalamudi, Ashu Abdul, Jenhui Chen |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10401904/ |
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