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. 2021 Mar 1;11:4835. doi: 10.1038/s41598-021-83668-1

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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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Big component network. (a) A network with 52 nodes is displayed. The network is a big component observed in the exploratory network analysis of a network created by the Machine learning algorithm. Nodes are displayed in red color; connections are in blue. (b) A network of 55 nodes of which 3 nodes are from the identified gatekeepers. Figures were made with the library NetWorkX of Python.