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. 2019 May 2;9:6846. doi: 10.1038/s41598-019-43033-9

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© The Author(s) 2019

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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Shows the rank-based correlation of the information theoretic causal effect measure CE_KL with other measures across varying types of networks, number of nodes, and connectivity levels. Error bars denote 10% and 90% quantiles across the 500 simulations. True edge weight is drawn from a Normal (0.0, 0.5) distribution. Black lines indicate the zero correlation level.