The nature and nurture of network evolution

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorZhou, Binen_US
dc.contributor.authorHolme, Petteren_US
dc.contributor.authorGiong, Zaiwuen_US
dc.contributor.authorZhan, Choujunen_US
dc.contributor.authorHuang, Yaoen_US
dc.contributor.authorLu, Xinen_US
dc.contributor.authorMeng, Xiangyien_US
dc.contributor.departmentDepartment of Computer Scienceen
dc.contributor.groupauthorProfessorship Holme Petteren
dc.contributor.groupauthorComputer Science Professorsen
dc.contributor.groupauthorComputer Science - Complex Systems (Cxsys) - Research areaen
dc.contributor.organizationNanjing University of Information Science & Technologyen_US
dc.contributor.organizationSouth China Normal Universityen_US
dc.contributor.organizationSun Yat-sen Universityen_US
dc.contributor.organizationNational University of Defense Technologyen_US
dc.contributor.organizationNortheastern Universityen_US
dc.date.accessioned2023-11-29T09:45:17Z
dc.date.available2023-11-29T09:45:17Z
dc.date.issued2023-12en_US
dc.descriptionFunding 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).
dc.description.abstractAlthough 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.en
dc.description.versionPeer revieweden
dc.format.extent8
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationZhou, 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/s41467-023-42856-5en
dc.identifier.doi10.1038/s41467-023-42856-5en_US
dc.identifier.issn2041-1723
dc.identifier.otherPURE UUID: 6e1f285c-5433-4f90-9f1f-dd0e74b3aaeben_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/6e1f285c-5433-4f90-9f1f-dd0e74b3aaeben_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85175715312&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/128663149/The_nature_and_nurture_of_network_evolution.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/124654
dc.identifier.urnURN:NBN:fi:aalto-202311296993
dc.language.isoenen
dc.publisherSpringer
dc.relation.ispartofseriesNature Communicationsen
dc.relation.ispartofseriesVolume 14, issue 1, pp. 1-8en
dc.rightsopenAccessen
dc.titleThe nature and nurture of network evolutionen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

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