Strength distribution in gradient networks

Details Strength distribution in gradient networks Strength distribution in gradient networks

2004-10-10

arxiv.org/abs/cond-mat/0410230v1

Physics

Condensed Matter

Disordered Systems and Neural Networks

3 pages, 2 figures

Scientific paper

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 $\gamma \approx 0.35$. Possible implications for neuronal networks topology and dynamics are also discussed.

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