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K-core robustness in ecological and financial networks
In many real-world networks, the ability to withstand targeted or global attacks; extinctions; or shocks is vital to the survival of the network itself, and of dependent structures such as economies (for financial networks) or even the planet (for ecosystems). Previous attempts to characterise robus...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042264/ https://www.ncbi.nlm.nih.gov/pubmed/32099020 http://dx.doi.org/10.1038/s41598-020-59959-4 |
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author | Burleson-Lesser, Kate Morone, Flaviano Tomassone, Maria S. Makse, Hernán A. |
author_facet | Burleson-Lesser, Kate Morone, Flaviano Tomassone, Maria S. Makse, Hernán A. |
author_sort | Burleson-Lesser, Kate |
collection | PubMed |
description | In many real-world networks, the ability to withstand targeted or global attacks; extinctions; or shocks is vital to the survival of the network itself, and of dependent structures such as economies (for financial networks) or even the planet (for ecosystems). Previous attempts to characterise robustness include nestedness of mutualistic networks or exploration of degree distribution. In this work we present a new approach for characterising the stability and robustness of networks with all-positive interactions by studying the distribution of the k-shell of the underlying network. We find that high occupancy of nodes in the inner and outer k-shells and low occupancy in the middle shells of financial and ecological networks (yielding a “U-shape” in a histogram of k-shell occupancy) provide resilience against both local targeted and global attacks. Investigation of this highly-populated core gives insights into the nature of a network (such as sharp transitions in the core composition of the stock market from a mix of industries to domination by one or two in the mid-1990s) and allow predictions of future network stability, e.g., by monitoring populations of “core” species in an ecosystem or noting when stocks in the core-dominant sector begin to move in lock-step, presaging a dramatic move in the market. Moreover, this “U-shape” recalls core-periphery structure, seen in a wide range of networks including opinion and internet networks, suggesting that the “U-shaped” occupancy histogram and its implications for network health may indeed be universal. |
format | Online Article Text |
id | pubmed-7042264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70422642020-03-03 K-core robustness in ecological and financial networks Burleson-Lesser, Kate Morone, Flaviano Tomassone, Maria S. Makse, Hernán A. Sci Rep Article In many real-world networks, the ability to withstand targeted or global attacks; extinctions; or shocks is vital to the survival of the network itself, and of dependent structures such as economies (for financial networks) or even the planet (for ecosystems). Previous attempts to characterise robustness include nestedness of mutualistic networks or exploration of degree distribution. In this work we present a new approach for characterising the stability and robustness of networks with all-positive interactions by studying the distribution of the k-shell of the underlying network. We find that high occupancy of nodes in the inner and outer k-shells and low occupancy in the middle shells of financial and ecological networks (yielding a “U-shape” in a histogram of k-shell occupancy) provide resilience against both local targeted and global attacks. Investigation of this highly-populated core gives insights into the nature of a network (such as sharp transitions in the core composition of the stock market from a mix of industries to domination by one or two in the mid-1990s) and allow predictions of future network stability, e.g., by monitoring populations of “core” species in an ecosystem or noting when stocks in the core-dominant sector begin to move in lock-step, presaging a dramatic move in the market. Moreover, this “U-shape” recalls core-periphery structure, seen in a wide range of networks including opinion and internet networks, suggesting that the “U-shaped” occupancy histogram and its implications for network health may indeed be universal. Nature Publishing Group UK 2020-02-25 /pmc/articles/PMC7042264/ /pubmed/32099020 http://dx.doi.org/10.1038/s41598-020-59959-4 Text en © The Author(s) 2020 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/. |
spellingShingle | Article Burleson-Lesser, Kate Morone, Flaviano Tomassone, Maria S. Makse, Hernán A. K-core robustness in ecological and financial networks |
title | K-core robustness in ecological and financial networks |
title_full | K-core robustness in ecological and financial networks |
title_fullStr | K-core robustness in ecological and financial networks |
title_full_unstemmed | K-core robustness in ecological and financial networks |
title_short | K-core robustness in ecological and financial networks |
title_sort | k-core robustness in ecological and financial networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042264/ https://www.ncbi.nlm.nih.gov/pubmed/32099020 http://dx.doi.org/10.1038/s41598-020-59959-4 |
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