Cargando…
Identifying Influential Nodes in Complex Networks Based on Information Entropy and Relationship Strength
Identifying influential nodes is a key research topic in complex networks, and there have been many studies based on complex networks to explore the influence of nodes. Graph neural networks (GNNs) have emerged as a prominent deep learning architecture, capable of efficiently aggregating node inform...
Autores principales: | Xi, Ying, Cui, Xiaohui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216907/ https://www.ncbi.nlm.nih.gov/pubmed/37238509 http://dx.doi.org/10.3390/e25050754 |
Ejemplares similares
-
Identifying Influential Nodes in Complex Networks Based on Multiple Local Attributes and Information Entropy
por: Zhang, Jinhua, et al.
Publicado: (2022) -
Influential Nodes Identification in Complex Networks via Information Entropy
por: Guo, Chungu, et al.
Publicado: (2020) -
Integrating local and global information to identify influential nodes in complex networks
por: Mukhtar, Mohd Fariduddin, et al.
Publicado: (2023) -
A Novel Method to Rank Influential Nodes in Complex Networks Based on Tsallis Entropy
por: Chen, Xuegong, et al.
Publicado: (2020) -
Identifying influential nodes based on network representation learning in complex networks
por: Wei, Hao, et al.
Publicado: (2018)