Detecting informative higher-order interactions in statistically validated hypergraphs

The increasing availability of new data on biological and sociotechnical systems highlights the importance of well grounded filtering techniques to separate meaningful interactions from noise. In this work the authors propose the first method to detect informative connections of any order in statist...

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Autores principales: Federico Musciotto, Federico Battiston, Rosario N. Mantegna
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/1ce10e574e424627ab206e9d3d8dedc3
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