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The nature and nurture of network evolution

Author

Listed:
  • Bin Zhou

    (Nanjing University of Information Science and Technology)

  • Petter Holme

    (Aalto University
    Kobe University)

  • Zaiwu Gong

    (Nanjing University of Information Science and Technology)

  • Choujun Zhan

    (South China Normal University)

  • Yao Huang

    (Nanfang College Guangzhou)

  • Xin Lu

    (National University of Defense Technology)

  • Xiangyi Meng

    (Northeastern University
    Northwestern University)

Abstract

Although the origin of the fat-tail characteristic of the degree distribution in complex networks has been extensively researched, the underlying cause of the degree distribution characteristic across the complete range of degrees remains obscure. Here, we propose an evolution model that incorporates only two factors: the node’s weight, reflecting its innate attractiveness (nature), and the node’s degree, reflecting the external influences (nurture). The proposed model provides a good fit for degree distributions and degree ratio distributions of numerous real-world networks and reproduces their evolution processes. Our results indicate that the nurture factor plays a dominant role in the evolution of social networks. In contrast, the nature factor plays a dominant role in the evolution of non-social networks, suggesting that whether nodes are people determines the dominant factor influencing the evolution of real-world networks.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42856-5
    DOI: 10.1038/s41467-023-42856-5
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    References listed on IDEAS

    as
    1. Nicolò Pagan & Wenjun Mei & Cheng Li & Florian Dörfler, 2021. "A meritocratic network formation model for the rise of social media influencers," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    2. Chaoming Song & Shlomo Havlin & Hernán A. Makse, 2005. "Self-similarity of complex networks," Nature, Nature, vol. 433(7024), pages 392-395, January.
    3. Anna D. Broido & Aaron Clauset, 2019. "Scale-free networks are rare," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    4. Petter Holme, 2019. "Rare and everywhere: Perspectives on scale-free networks," Nature Communications, Nature, vol. 10(1), pages 1-3, December.
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