The nature and nurture of network evolution

Bin Zhou, Petter Holme, Zaiwu Gong, Choujun Zhan, Yao Huang, Xin Lu and Xiangyi Meng ()
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Bin Zhou: Nanjing University of Information Science and Technology
Petter Holme: Aalto 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

Nature Communications, 2023, vol. 14, issue 1, 1-8

Abstract: 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.

Date: 2023
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DOI: 10.1038/s41467-023-42856-5

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