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Cited by 854

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Size and form in efficient transportation networks

Open access
Banavar, Jayanth R., Maritan, Amos, Rinaldo, Andrea·1999·Nature

Abstract

Many biological processes, from cellular metabolism to population dynamics, are characterized by allometric scaling (power-law) relationships between size and rate. An outstanding question is whether typical allometric scaling relationships—the power-law dependence of a biological rate on body mass—can be understood by considering the general features of branching networks serving a particular volume. Distributed networks in nature stem from the need for effective connectivity, and occur both in biological systems such as cardiovascular and respiratory networks and plant vascular and root systems,,, and in inanimate systems such as the drainage network of river basins. Here we derive a general relationship between size and flow rates in arbitrary networks with local connectivity. Our theory accounts in a general way for the quarter-power allometric scaling of living organisms, recently derived under specific assumptions for particular network geometries. It also predicts scaling relations applicable to all efficient transportation networks, which we verify from observational data on the river drainage basins. Allometric scaling is therefore shown to originate from the general features of networks irrespective of dynamical or geometric assumptions.

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Metadata

Authors
Banavar, J. R., Maritan, A., & Rinaldo, A.
Venue
Nature
Published
1999-05
Volume
399
Issue
6732
Pages
130-132
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W1574634131
Cited by
854
References
13
FWCI
19.80
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Size and form in efficient transportation networks. https://app.cochat.ai/papers/10.1038/20144
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Banavar, J. R., Maritan, A., & Rinaldo, A. (1999). Size and form in efficient transportation networks. Nature. https://doi.org/10.1038/20144

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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