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. 2018 Mar 16;8:4744. doi: 10.1038/s41598-018-22969-4

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© The Author(s) 2018

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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Visualization of the community detection method developed. (a) The primal road network with a single segment highlighted in black. (b) The dual representation of the same network with the single segment highlighted in black. (c) The result of community detection on the dual network representation. (d) Conversion back to the primal road network with the identified communities mapped. Figure produced using R v3.4 (www.r-project.org).