Editorial : Machine learning in social complex systems

Research output: Journal Publications and Reviews › Editorial Preface › peer-review

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Author(s)

  • Wanfeng Yan
  • Zhi-Qiang Jiang
  • Lishuai Li
  • Ryohei Hisano
  • Jingzhi Li

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number1199879
Journal / PublicationFrontiers in Physics
Volume11
Online published10 Apr 2023
Publication statusPublished - 2023

Link(s)

DOI

DOI
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Publisher's Copyright Statement
  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-85153489770&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(1576275b-d991-42ea-97ad-b931a36aa8d0).html

Research Area(s)

  • data-driven approaches, financial crisis prediction, global student mobility, machine learning, multilayer networks, public health emergencies, social complex systems, systemic financial risk contagion

Citation Format(s)

[ RIS ] [ BibTeX ]
Editorial: Machine learning in social complex systems. / Yan, Wanfeng; Jiang, Zhi-Qiang; Li, Lishuai et al.
In: Frontiers in Physics, Vol. 11, 1199879, 2023.

Research output: Journal Publications and Reviews › Editorial Preface › peer-review

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