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. 2021 Jan 18;11:1743. doi: 10.1038/s41598-021-81293-6

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Visualisation and statistical analysis of radiolysis network. (a) Bi-partite network with molecular species (green circles) size-weighted according to degree of connectivity to reactions (red circles). Groupings of chemical reaction categories are individually shaded and labelled. (b) Statistical comparison of species node degree connectivity distribution indicates that an exponential fall-off fit is poor compared to a power law or lognormal fit of the empirical data. (c) Statistical comparison of the cycle size distribution indicates that an exponential fall-off fit is not reliably distinguishable from a power law, lognormal or exponentially truncated power law fit of the empirical data.