The nature and nurture of network evolution
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2023-12
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en
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8
1-8
1-8
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Nature Communications, Volume 14, issue 1
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.Description
Funding Information: B.Z. was supported by the Startup Foundation for Introducing Talent of NUIST and the Qinglan Project of Jiangsu Universities. P.H. was supported by JSPS KAKENHI Grant Number JP 21H04595. Z.G. is supported by the National Natural Science Foundation of China with Grant Number 72371137. X.L. was supported by the National Nature Science Foundation of China with Grant Numbers 72025405, 72088101 and 72001211, and the Hunan Science and Technology Plan Project with Grant Number 2020TP1013. Publisher Copyright: © 2023, The Author(s).
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Zhou, B, Holme, P, Giong, Z, Zhan, C, Huang, Y, Lu, X & Meng, X 2023, ' The nature and nurture of network evolution ', Nature Communications, vol. 14, no. 1, 7031, pp. 1-8 . https://doi.org/10.1038/s41467-023-42856-5
