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Strong contributors to network persistence are the most vulnerable to extinction

Author

Listed:
  • Serguei Saavedra

    (Northwestern Institute on Complex Systems, Northwestern University
    Kellogg School of Management, Northwestern University
    Northwestern University Clinical and Translational Sciences Institute, Northwestern University)

  • Daniel B. Stouffer

    (Integrative Ecology Group, Estación Biológica de Doñana, CSIC, Calle Américo Vespucio s/n, E-41092 Sevilla, Spain
    School of Biological Sciences, University of Canterbury, Christchurch 8140, New Zealand)

  • Brian Uzzi

    (Northwestern Institute on Complex Systems, Northwestern University
    Kellogg School of Management, Northwestern University)

  • Jordi Bascompte

    (Integrative Ecology Group, Estación Biológica de Doñana, CSIC, Calle Américo Vespucio s/n, E-41092 Sevilla, Spain)

Abstract

Network stalwarts not rewarded Nodes in cooperative networks, such as those between plants and their pollinators or service providers and their contractors, form complex networks of interdependences. In these mutualistic networks, nodes that contribute to the nestedness of the network improve its stability. However, this study, using ecological data from 20 plant–pollinator networks and from socioeconomic networks, shows that these same nodes do not reap the benefits. In fact, the nodes that contribute the most to network persistence are also the most vulnerable to extinction.

Suggested Citation

  • Serguei Saavedra & Daniel B. Stouffer & Brian Uzzi & Jordi Bascompte, 2011. "Strong contributors to network persistence are the most vulnerable to extinction," Nature, Nature, vol. 478(7368), pages 233-235, October.
    • Handle: RePEc:nat:nature:v:478:y:2011:i:7368:d:10.1038_nature10433
    DOI: 10.1038/nature10433
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    Citations

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    Cited by:

    1. Sebastián Bustos & Charles Gomez & Ricardo Hausmann & César A Hidalgo, 2012. "The Dynamics of Nestedness Predicts the Evolution of Industrial Ecosystems," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-8, November.
    2. Antonios Garas & Celine Rozenblat & Frank Schweitzer, 2015. "The network structure of city-firm relations," Papers 1512.02859, arXiv.org.
    3. Huang, Shuhong & Wang, Xiangrong & Peng, Liyang & Xie, Jiarong & Sun, Jiachen & Hu, Yanqing, 2021. "Optimal compression for bipartite networks," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    4. Michel Alexandre & Felipe Jordão Xavier & Thiago Christiano Silva & Francisco A. Rodrigues, 2022. "Nestedness in the Brazilian Financial System," Working Papers Series 566, Central Bank of Brazil, Research Department.
    5. Su, Min & Yang, Yuanqi, 2020. "Parasite richness and network architecture jointly affect multihost community composition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    6. Yicheol Han & Stephan J. Goetz, 2015. "The Economic Resilience of U.S. Counties during the Great Recession," The Review of Regional Studies, Southern Regional Science Association, vol. 45(2), pages 131-149, Fall.
    7. Luiz G. A. Alves & Giuseppe Mangioni & Isabella Cingolani & Francisco A. Rodrigues & Pietro Panzarasa & Yamir Moreno, 2018. "The nested structural organization of the worldwide trade multi-layer network," Papers 1803.02872, arXiv.org, revised Sep 2019.
    8. Merza, Ádám & London, András & Kiss, István Márton & Pelle, Anita & Dombi, József & Németh, Tamás, 2016. "A világkereskedelem hálózatelméleti vizsgálatának lehetőségeiről [The scope for analysis of world trade through network theory]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 79-98.

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