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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| Format: | Article |
| Language: | English |
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Nature Publishing Group
2021-01-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-81547-3 |