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. 2021 Jul 14;189(3):787–796. doi: 10.1007/s10549-021-06326-0

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© The Author(s) 2021

Open AccessThis 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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Fig. 2 — Graph measure values of participants at T1 and T2. These values represent values after normalization by random networks. A Clustering coefficient (C_p) values of participants B Characteristic path length (L_p) of participants C Global efficiency (E_glob) values at T1 and T2 D Local efficiency (E_loc) of participants at T1 and T2. NC non-cancer control, BCC − breast cancer patients without chemotherapy, BCC + breast cancer patients with chemotherapy. *Statistically significant difference defined as p < 0.05