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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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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4838277/ https://ncbi.nlm.nih.gov/pubmed/27096435 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0152536 |
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