Human migration involves the movement of people from one place to another. An example of undirected migration is Italian student mobility where students move from the South to the Center-North. This kind of mobility has become of general interest, and this work explores student mobility from Sicily towards universities outside the island. The data used in this paper regards six cohorts of students, from 2008/09 to 2013/14. In particular, our goal is to study the 3-step migration path: the area of origin (Sicilian provinces), the regional university for the bachelor’s degree, and the regional university for the master’s. Our analysis is conducted by building a multipartite network with four sets of nodes: students; Sicilian provinces; bachelor region of studies; and the master region of studies. By projecting the students’ set onto the others, we obtain a tripartite network where the number of students represents the link weight. Results show that the big Sicilian cities—Palermo, Catania, and Messina—have different preferential paths compared to small Sicilian cities. Furthermore, the results reveal preferential paths of 3-step mobility that only, in part, reflect a south-north orientation in the transition from the region of study for the bachelor degree to that for the master’s.

Vincenzo Giuseppe Genova, Michele Tumminello, Fabio Aiello, Massimo Attanasio (2021). A network analysis of student mobility patterns from high school to master’s. STATISTICAL METHODS & APPLICATIONS, 30(5), 1445-1464 [10.1007/s10260-021-00592-4].

A network analysis of student mobility patterns from high school to master’s

Vincenzo Giuseppe Genova;Michele Tumminello;Massimo Attanasio
2021-11-03

Abstract

Human migration involves the movement of people from one place to another. An example of undirected migration is Italian student mobility where students move from the South to the Center-North. This kind of mobility has become of general interest, and this work explores student mobility from Sicily towards universities outside the island. The data used in this paper regards six cohorts of students, from 2008/09 to 2013/14. In particular, our goal is to study the 3-step migration path: the area of origin (Sicilian provinces), the regional university for the bachelor’s degree, and the regional university for the master’s. Our analysis is conducted by building a multipartite network with four sets of nodes: students; Sicilian provinces; bachelor region of studies; and the master region of studies. By projecting the students’ set onto the others, we obtain a tripartite network where the number of students represents the link weight. Results show that the big Sicilian cities—Palermo, Catania, and Messina—have different preferential paths compared to small Sicilian cities. Furthermore, the results reveal preferential paths of 3-step mobility that only, in part, reflect a south-north orientation in the transition from the region of study for the bachelor degree to that for the master’s.
3-nov-2021
Vincenzo Giuseppe Genova, Michele Tumminello, Fabio Aiello, Massimo Attanasio (2021). A network analysis of student mobility patterns from high school to master’s. STATISTICAL METHODS & APPLICATIONS, 30(5), 1445-1464 [10.1007/s10260-021-00592-4].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/525089
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