arXiv · cond-mat/0410230
Strength distribution in gradient networks
Abstract
This article describes a gradient complex network model whose weights are proportional to the difference between uniformly distributed ``fitness'' values assigned to the nodes. It is shown analytically and experimentally that the strength (i.e. the weighted node degree) density of such a network model can be well approximated by a power law with $γ\approx 0.35$. Possible implications for neuronal networks topology and dynamics are also discussed.
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Luciano da Fontoura Costa. 2004-10-10. Strength distribution in gradient networks. https://arxiv.org/abs/cond-mat/0410230
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