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Computing a ranking network with confidence bounds from a graph-based Beta random field
We address two largely overlooked, fundamental issues in computing a ranking hierarchy within a society: which information in the network is relevant, and what effect chance has on the hierarchy. To properly account for uncertainty from limited data, we construct a random field in a matrix form havi...
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| Publicado no: | Proc Math Phys Eng Sci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society Publishing
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4457085/ https://ncbi.nlm.nih.gov/pubmed/26052245 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2011.0268 |
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