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Rare and everywhere: Perspectives on scale-free networks

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  • Petter Holme

    (Tokyo Institute of Technology)

Abstract

Are scale-free networks rare or universal? Important or not? We present the recent research about degree distributions of networks. This is a controversial topic, but, we argue, with some adjustments of the terminology, it does not have to be.

Suggested Citation

  • Petter Holme, 2019. "Rare and everywhere: Perspectives on scale-free networks," Nature Communications, Nature, vol. 10(1), pages 1-3, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09038-8
    DOI: 10.1038/s41467-019-09038-8
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    Cited by:

    1. Li, Xiaosi & Li, Jiayi & Yang, Haichuan & Wang, Yirui & Gao, Shangce, 2022. "Population interaction network in representative differential evolution algorithms: Power-law outperforms Poisson distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    2. Thomas J. Sargent & John Stachurski, 2022. "Economic Networks: Theory and Computation," Papers 2203.11972, arXiv.org, revised Jul 2022.
    3. Koponen, Ismo T. & Palmgren, Elina & Keski-Vakkuri, Esko, 2021. "Characterising heavy-tailed networks using q-generalised entropy and q-adjacency kernels," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    4. Johnston, Josh & Andersen, Tim, 2022. "Random processes with high variance produce scale free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    5. Fu, Xiuwen & Wang, Ye & Yang, Yongsheng & Postolache, Octavian, 2022. "Analysis on cascading reliability of edge-assisted Internet of Things," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    6. Fleming, Sean W., 2021. "Scale-free networks, 1/f dynamics, and nonlinear conflict size scaling from an agent-based simulation model of societal-scale bilateral conflict and cooperation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    7. Ho-Chun Herbert Chang & Brooke Harrington & Feng Fu & Daniel Rockmore, 2023. "Complex Systems of Secrecy: The Offshore Networks of Oligarchs," Papers 2303.03371, arXiv.org.
    8. Cantone, Giulio Giacomo & Tomaselli, Venera, 2023. "Quasi-experimental network-based design for semantic analysis of small clusters of bi-polar online reviews," SocArXiv v7u3h, Center for Open Science.
    9. Li, Fangyi & Cao, Xin & Ou, Rui, 2021. "A network-based evolutionary analysis of the diffusion of cleaner energy substitution in enterprises: The roles of PEST factors," Energy Policy, Elsevier, vol. 156(C).
    10. Jiang, Xiong-Fei & Xiong, Long & Bai, Ling & Lin, Jie & Zhang, Jing-Feng & Yan, Kun & Zhu, Jia-Zhen & Zheng, Bo & Zheng, Jian-Jun, 2022. "Structure and dynamics of human complication-disease network," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    11. Valero, Jordi & Pérez-Casany, Marta & Duarte-López, Ariel, 2022. "The Zipf-Polylog distribution: Modeling human interactions through social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    12. Bin Zhou & Petter Holme & Zaiwu Gong & Choujun Zhan & Yao Huang & Xin Lu & Xiangyi Meng, 2023. "The nature and nurture of network evolution," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    13. Meng, Xiangyi & Zhou, Bin, 2023. "Scale-free networks beyond power-law degree distribution," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).

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