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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Bibliographic Details
Main Authors: Andreas Spitz, Anna Gimmler, Thorsten Stoeck, Katharina Anna Zweig, Emőke-Ágnes Horvát
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4838277?pdf=render