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