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Št. zadetkov: 3
Universality of political corruption networks
Alvaro F. Martins, Bruno R. da Cunha, Quentin S. Hanley, Sebastián Gonçalves, Matjaž Perc, Haroldo V. Ribeiro
Izvirni znanstveni članek
Oznake: korupcija;omrežje;politika;univerzalnost;fizika družbe;corruption;network;politics;universality;social physics;
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 known about the properties of these networks. Here we present a comprehensive investigation of corruption networks related ...
Leto: 2022 Vir: Fakulteta za naravoslovje in matematiko (UM FNM)
Machine learning partners in criminal networks
Diego D. Lopes, Bruno R. da Cunha, Alvaro F. Martins, Sebastián Gonçalves, Ervin K. Lenzi, Quentin S. Hanley, Matjaž Perc, Haroldo V. Ribeiro
Izvirni znanstveni članek
Oznake: strojno učenje;kriminal;omrežje;fizika družbe;machine learning;crime;network;social physics;
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 ...
Leto: 2022 Vir: Fakulteta za naravoslovje in matematiko (UM FNM)
Deep learning criminal networks
Haroldo V. Ribeiro, Diego D. Lopes, Arthur A. B. Pessa, Alvaro F. Martins, Bruno R. da Cunha, Sebastián Gonçalves, Ervin K. Lenzi, Quentin S. Hanley, Matjaž Perc, Matjaž Perc
Izvirni znanstveni članek
Oznake: organiziran kriminal;kompleksnost;napovedovanje kriminala;GraphSAGE;ne zaključna dela;organized crime;complexity;crime prediction;
Recent advances in deep learning methods have enabled researchers to develop and apply algorithms for the analysis and modeling of complex networks. These advances have sparked a surge of interest at the interface between network science and machine learning. Despite this, the use of machine learnin ...
Leto: 2023 Vir: Fakulteta za naravoslovje in matematiko (UM FNM)
Št. zadetkov: 3
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