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

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.
Methods: 235 students from 5 different educational centres participate in this study between March and December 2015. Data analysis carried out is divided into two blocks: social network analysis and unsupervised machine learning techniques. …

aim analysis connectivity cs.lg cs.si diet gender machine machine learning machine learning techniques network obesity pandemic relational social study subgroups them through