Detecting influential nodes with topological structure via Graph Neural Network approach in social networks

Detecting influential nodes in complex social networks is crucial due to the enormous amount of data and the constantly changing behavior of existing topologies. Centrality-based and machine-learning approaches focus mostly on node topologies or feature values in their evaluation of nodes’ relevance...

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Detalles Bibliográficos
Autores principales: Bhattacharya, Riju, Nagwani, Naresh Kumar, Tripathi, Sarsij
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163927/
https://www.ncbi.nlm.nih.gov/pubmed/37256031
http://dx.doi.org/10.1007/s41870-023-01271-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163927/
https://www.ncbi.nlm.nih.gov/pubmed/37256031
http://dx.doi.org/10.1007/s41870-023-01271-1

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