A Machine Learning Based Framework for Identifying Influential Nodes in Complex Networks

A Machine Learning Based Framework for Identifying Influential Nodes in Complex Networks

In complex networks, identifying influential nodes is of great importance for its wide applications. Traditional centrality methods are usually directly based on topological structures of networks, and different centrality methods consider different structural characteristics related to the function...

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Bibliographic Details
Main Authors: Gouheng Zhao, Peng Jia, Cheng Huang, Anmin Zhou, Yong Fang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Complex networks
influential nodes
machine learning
centrality
Online Access:https://ieeexplore.ieee.org/document/9050733/

Internet

https://ieeexplore.ieee.org/document/9050733/

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