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An evaluation tool for backbone extraction techniques in weighted complex networks
Networks are essential for analyzing complex systems. However, their growing size necessitates backbone extraction techniques aimed at reducing their size while retaining critical features. In practice, selecting, implementing, and evaluating the most suitable backbone extraction method may be chall...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562457/ https://www.ncbi.nlm.nih.gov/pubmed/37813946 http://dx.doi.org/10.1038/s41598-023-42076-3 |
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author | Yassin, Ali Haidar, Abbas Cherifi, Hocine Seba, Hamida Togni, Olivier |
author_facet | Yassin, Ali Haidar, Abbas Cherifi, Hocine Seba, Hamida Togni, Olivier |
author_sort | Yassin, Ali |
collection | PubMed |
description | Networks are essential for analyzing complex systems. However, their growing size necessitates backbone extraction techniques aimed at reducing their size while retaining critical features. In practice, selecting, implementing, and evaluating the most suitable backbone extraction method may be challenging. This paper introduces netbone, a Python package designed for assessing the performance of backbone extraction techniques in weighted networks. Its comparison framework is the standout feature of netbone. Indeed, the tool incorporates state-of-the-art backbone extraction techniques. Furthermore, it provides a comprehensive suite of evaluation metrics allowing users to evaluate different backbones techniques. We illustrate the flexibility and effectiveness of netbone through the US air transportation network analysis. We compare the performance of different backbone extraction techniques using the evaluation metrics. We also show how users can integrate a new backbone extraction method into the comparison framework. netbone is publicly available as an open-source tool, ensuring its accessibility to researchers and practitioners. Promoting standardized evaluation practices contributes to the advancement of backbone extraction techniques and fosters reproducibility and comparability in research efforts. We anticipate that netbone will serve as a valuable resource for researchers and practitioners enabling them to make informed decisions when selecting backbone extraction techniques to gain insights into the structural and functional properties of complex systems. |
format | Online Article Text |
id | pubmed-10562457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105624572023-10-11 An evaluation tool for backbone extraction techniques in weighted complex networks Yassin, Ali Haidar, Abbas Cherifi, Hocine Seba, Hamida Togni, Olivier Sci Rep Article Networks are essential for analyzing complex systems. However, their growing size necessitates backbone extraction techniques aimed at reducing their size while retaining critical features. In practice, selecting, implementing, and evaluating the most suitable backbone extraction method may be challenging. This paper introduces netbone, a Python package designed for assessing the performance of backbone extraction techniques in weighted networks. Its comparison framework is the standout feature of netbone. Indeed, the tool incorporates state-of-the-art backbone extraction techniques. Furthermore, it provides a comprehensive suite of evaluation metrics allowing users to evaluate different backbones techniques. We illustrate the flexibility and effectiveness of netbone through the US air transportation network analysis. We compare the performance of different backbone extraction techniques using the evaluation metrics. We also show how users can integrate a new backbone extraction method into the comparison framework. netbone is publicly available as an open-source tool, ensuring its accessibility to researchers and practitioners. Promoting standardized evaluation practices contributes to the advancement of backbone extraction techniques and fosters reproducibility and comparability in research efforts. We anticipate that netbone will serve as a valuable resource for researchers and practitioners enabling them to make informed decisions when selecting backbone extraction techniques to gain insights into the structural and functional properties of complex systems. Nature Publishing Group UK 2023-10-09 /pmc/articles/PMC10562457/ /pubmed/37813946 http://dx.doi.org/10.1038/s41598-023-42076-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yassin, Ali Haidar, Abbas Cherifi, Hocine Seba, Hamida Togni, Olivier An evaluation tool for backbone extraction techniques in weighted complex networks |
title | An evaluation tool for backbone extraction techniques in weighted complex networks |
title_full | An evaluation tool for backbone extraction techniques in weighted complex networks |
title_fullStr | An evaluation tool for backbone extraction techniques in weighted complex networks |
title_full_unstemmed | An evaluation tool for backbone extraction techniques in weighted complex networks |
title_short | An evaluation tool for backbone extraction techniques in weighted complex networks |
title_sort | evaluation tool for backbone extraction techniques in weighted complex networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562457/ https://www.ncbi.nlm.nih.gov/pubmed/37813946 http://dx.doi.org/10.1038/s41598-023-42076-3 |
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