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. 2020 Mar 1;4(1):257–273. doi: 10.1162/netn_a_00122

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© 2019 Massachusetts Institute of Technology

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.

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Figure 1. — Edge strength normalization to maintain connectivity differences between a strongly connected and a weakly connected node. (A) A weighted graph with five nodes and six edges. (B) Adding self loops to nodes with weaker connections in order to normalize the probabilities. (C) Transition probabilities from nodes a and b after normalization (the transition probabilities from nodes c, d, and e are not included in this figure).