Abstract
This article uses experimental game theory and social network analysis to identify low-cooperation relationships associated with bullying patterns in elementary school classrooms. The work connects classroom behavioral experiments with actionable evidence for school coexistence and prevention.
Publication
Humanities and Social Sciences Communications, 11, 1114

Data Science Institute, Universidad del Desarrollo.

Associate Professor, Data Science Institute, School of Engineering, Universidad del Desarrollo, Chile. Director of CRiSS-LAB.
Cristian Candia is a computational social scientist studying human and collective behavior with large-scale data, network science, experiments, and AI.

Physics Department, Universidad del Bío Bío

Universidad del Desarrollo.