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. 2019 Dec 9;9:18592. doi: 10.1038/s41598-019-55178-8

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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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How influence scores change before and after polarization. Plot (a) shows the accumulated counts of the successful responses between nodes sending messages without polarization, and plot (b) shows the same information during the phase of polarized communication (evens and odds have a disagreement). Each cell represents the number successful messages sent by user i to user j. Plot (c) shows the value of the relative influence of the top half of the nodes in respect to the bottom half during the simulation in which a polarization event is introduced at the dashed vertical line. Plot (d) shows the total amount of successful messages sent by each user to the lowest ranked influencer (before and after the introduction of polarization).