Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2004-09-27
J. Stat. Mech. (2006) P01015
Physics
Condensed Matter
Disordered Systems and Neural Networks
5 pages, 3 figures
Scientific paper
10.1088/1742-5468/2006/01/P01015
We study spatial networks that are designed to distribute or collect a commodity, such as gas pipelines or train tracks. We focus on the cost of a network, as represented by the total length of all its edges, and its efficiency in terms of the directness of routes from point to point. Using data for several real-world examples, we find that distribution networks appear remarkably close to optimal where both these properties are concerned. We propose two models of network growth that offer explanations of how this situation might arise.
Gastner Michael T.
Newman M. E. J.
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