Machine learning partners in criminal networks

Recent research has shown that criminal networks have complex organizational structures, but whether this can be used to predict static and dynamic properties of criminal networks remains little explored. Here, by combining graph representation learning and machine learning methods, we show that str...

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Detalles Bibliográficos
Autores principales: Lopes, Diego D., Cunha, Bruno R. da, Martins, Alvaro F., Gonçalves, Sebastián, Lenzi, Ervin K., Hanley, Quentin S., Perc, Matjaž, Ribeiro, Haroldo V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492767/
https://www.ncbi.nlm.nih.gov/pubmed/36130960
http://dx.doi.org/10.1038/s41598-022-20025-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492767/
https://www.ncbi.nlm.nih.gov/pubmed/36130960
http://dx.doi.org/10.1038/s41598-022-20025-w

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