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. 2020 Aug 28;10:14232. doi: 10.1038/s41598-020-71009-7

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© The Author(s) 2020

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Diversification patterns. (a) A stylized picture of the original PACS-Authors bipartite network representing scientists’ diversification patterns. (b) The diversification network (the monopartite projection on PACS): links represents the number of scientists active in each pair of sub-fields. (c) Visual summary of the hypergeometric test, providing evidence of the coherent nature of scientists’ diversification choices: 72% of pairs are classified as non-random ( $p < 0.05$ after Bonferroni correction).