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Explaining the emergence of complex networks through log-normal fitness in a Euclidean node similarity space
Networks of disparate phenomena—be it the global ecology, human social institutions, within the human brain, or in micro-scale protein interactions—exhibit broadly consistent architectural features. To explain this, we propose a new theory where link probability is modelled by a log-normal node fitn...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820353/ https://www.ncbi.nlm.nih.gov/pubmed/33479422 http://dx.doi.org/10.1038/s41598-021-81547-3 |