Explaining the emergence of complex networks through log-normal fitness in a Euclidean node similarity space
Abstract 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...
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| Formato: | article |
| Lenguaje: | EN |
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Nature Portfolio
2021
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| Acceso en línea: | https://doaj.org/article/8806a638a86c4cd889e213b8d3f79438 |
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