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. 2022 Mar 7;12:4027. doi: 10.1038/s41598-022-08047-w

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© The Author(s) 2022

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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Network percolation and statistical results. (a) Line plot representing the percolation process of the OR (red) and DD (blue) full networks. The x-axis represents the weight threshold, starting from the smallest weight in the network (0.1) to a weight strength in which the giant component is smaller than three nodes (0.7). (b) On the left, line plots of the LONO, LOSO, and LS procedures. Each line is an iteration, colors encode the conditions. On the right, barplots show the $ϕ$ between conditions and across the three procedures. Error bars represent the standard error of the mean (SEM). Horizontal black bars represent statistical significance. (c) OR and DD semantic networks undergoing the percolation process, visualized at different weight thresholds.