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VINCENZO GIUSEPPE GENOVA

COMMUNITY DETECTION IN TRIPARTITE NETWORKS OF UNIVERSITY STUDENT MOBILITY FLOWS

  • Autori: Vitale Maria Prosperina; Vincenzo Giuseppe Genova; Giuseppe Giordano; Giancarlo Ragozini
  • Anno di pubblicazione: 2021
  • Tipologia: Contributo in atti di convegno pubblicato in volume
  • OA Link: http://hdl.handle.net/10447/519663

Abstract

The purpose of this study is to explore how the multimode network approach can be used to analyse network patterns derived from student mobility flows. We define a tripartite network based on a three-mode data structure, consisting of Italian provinces of residence, universities and fields of study, with student exchanges representing the links between them. A comparison of algorithms for detecting communities from tripartite networks based on modularity optimization is provided, revealing relevant information about the phenomenon under analysis over time. The findings are applied to a real dataset containing micro-level longitudinal information on Italian university students’ careers.