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.
|Titolo della pubblicazione ospite||CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS|
|Numero di pagine||4|
|Stato di pubblicazione||Published - 2021|