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Assessing Low-Intensity Relationships in Complex Networks

Many large network data sets are noisy and contain links representing low-intensity relationships that are difficult to differentiate from random interactions. This is especially relevant for high-throughput data from systems biology, large-scale ecological data, but also for Web 2.0 data on human i...

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Detalles Bibliográficos
Autores principales: Spitz, Andreas, Gimmler, Anna, Stoeck, Thorsten, Zweig, Katharina Anna, Horvát, Emőke-Ágnes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4838277/
https://www.ncbi.nlm.nih.gov/pubmed/27096435
http://dx.doi.org/10.1371/journal.pone.0152536