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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 ...

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 ...

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 ...

Integrative studies merging life cycle, morphological and molecular data unravel phylogenetic patterns of Cnidaria Medusozoa, including time of origin, major evolutionary trends and patterns of diversification. Major taxonomical consequences of this updated view of cnidarian evolution have demonstra ...