2022
DOI: 10.1038/s41598-022-24656-x
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Through history to growth dynamics: deciphering the evolution of spatial networks

Abstract: Many ramified, network-like patterns in nature, such as river networks or blood vessels, form as a result of unstable growth of moving boundaries in an external diffusive field. Here, we pose the inverse problem for the network growth—can the growth dynamics be inferred from the analysis of the final pattern? We show that by evolving the network backward in time one can not only reconstruct the growth rules but also get an insight into the conditions under which branch splitting occurs. Determining the growth … Show more

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Cited by 4 publications
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