41 citations · 42 across the 2 of their papers we have counts for
2 papers
physics.soc-ph2022★ 41 cited
Machine Learning Partners in Criminal Networks
Diego D. Lopes, Bruno R. da Cunha, Alvaro F. Martins +5
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…
physics.soc-ph2022★ 1 cited
Universality of political corruption networks
Alvaro F. Martins, Bruno R. da Cunha, Quentin S. Hanley +3
Corruption crimes demand highly coordinated actions among criminal agents to succeed. But research dedicated to corruption networks is still in its infancy and indeed little is kno…