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Publisher Correction: Finding influential nodes for integration in brain networks using optimal percolation theory

Author

Listed:
  • Gino Ferraro

    (City College of New York)

  • Andrea Moreno

    (CSIC and UMH)

  • Byungjoon Min

    (City College of New York
    Chungbuk National University)

  • Flaviano Morone

    (City College of New York)

  • Úrsula Pérez-Ramírez

    (UPV)

  • Laura Pérez-Cervera

    (CSIC and UMH)

  • Lucas C. Parra

    (City College of New York)

  • Andrei Holodny

    (Memorial Sloan Kettering Cancer Center)

  • Santiago Canals

    (CSIC and UMH)

  • Hernán A. Makse

    (City College of New York)

Abstract

The original version of this Article contained an error in the last sentence of the first paragraph of the Introduction, which incorrectly read ‘Correlation of brain activity is typically measured using functional magnetic resonance imaging (fMRI), and the correlation structure is often referred to as “fu’. The correct version states ‘referred to as “functional connectivity”2–6’ in place of ‘referred to as “fu’. This has been corrected in both the PDF and HTML versions of the Article.

Suggested Citation

  • Gino Ferraro & Andrea Moreno & Byungjoon Min & Flaviano Morone & Úrsula Pérez-Ramírez & Laura Pérez-Cervera & Lucas C. Parra & Andrei Holodny & Santiago Canals & Hernán A. Makse, 2018. "Publisher Correction: Finding influential nodes for integration in brain networks using optimal percolation theory," Nature Communications, Nature, vol. 9(1), pages 1-1, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05686-4
    DOI: 10.1038/s41467-018-05686-4
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    Cited by:

    1. Wang, Dong & Small, Michael & Zhao, Yi, 2021. "Exploring the optimal network topology for spreading dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 564(C).
    2. Liu, Xiang-Chun & Zhu, Xu-Zhen & Tian, Hui & Zhang, Zeng-Ping & Wang, Wei, 2019. "Identifying localized influential spreaders of information spreading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 92-97.
    3. Bai, Xiwen & Ma, Zhongjun & Zhou, Yaoming, 2023. "Data-driven static and dynamic resilience assessment of the global liner shipping network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    4. Hou, Lei, 2022. "Network versus content: The effectiveness in identifying opinion leaders in an online social network with empirical evaluation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).

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