Machine learning partners in criminal networks
Abstract 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...
Main Authors: | Diego D. Lopes, Bruno R. da Cunha, Alvaro F. Martins, Sebastián Gonçalves, Ervin K. Lenzi, Quentin S. Hanley, Matjaž Perc, Haroldo V. Ribeiro |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-09-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-20025-w |
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