Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques.

Journal: PloS one
Published Date: Jan 1, 2023

Abstract

AIM: To study the existence of subgroups by exploring the similarities between the attributes of the nodes of the groups, in relation to diet and gender and, to analyse the connectivity between groups based on aspects of similarities between them through SNA and artificial intelligence techniques.

Authors

  • Pilar Marqués-Sánchez
    Faculty of Health Sciences, Nursing and Physiotherapy Department, SALBIS Research Group, Campus of Ponferrada, University of Leon, León 24402, Spain.
  • María Cristina Martínez-Fernández
    Faculty of Health Sciences, SALBIS Research Group, Campus de Ponferrada, Universidad de León, León, Spain.
  • José Alberto Benítez-Andrades
    SALBIS Research Group, Department of Electric, Systems and Automatics Engineering, University of León, Campus of Vegazana s/n, 24071 León, Spain.
  • Enedina Quiroga-Sánchez
    Faculty of Health Sciences, Nursing and Physiotherapy Department, SALBIS Research Group, Campus of Ponferrada, University of Leon, León 24402, Spain.
  • Maria Teresa García-Ordás
    Department of Electrical, Systems and Automatic Engineering, Universidad of León, Campus de Vegazana s/n, León 24071, Spain. Electronic address: mgaro@unileon.es.
  • Natalia Arias-Ramos
    Faculty of Health Sciences, SALBIS Research Group, Campus de Ponferrada, Universidad de León, León, Spain.

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