Explaining the emergence of complex networks through log-normal fitness in a Euclidean node similarity space

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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Bibliographic Details
Main Author: Keith Malcolm Smith
Format: Article
Language:English
Published: Nature Publishing Group 2021-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-81547-3

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