Geography of Italian student mobility: a network analysis approach

Columbu, Silvia;Porcu, Mariano;Sulis, Isabella
;
2021-01-01

Abstract

Understanding the phenomenon of intra- and international student mobility has become increasingly relevant to the organization of tertiary education systems. Using microdata information provided by the Italian National Student Archive on the cohorts of students enrolled at university in the academic years 2011–12 and 2014–15, we consider a network analysis approach to investigate the incoming and outgoing student flows between territories and universities. More specifically, the paper aims to shed light on the dynamics of Italian student mobility networks at both the bachelor's and master's degree levels by considering attractiveness indicators combined with network centrality measures, clustering techniques for network data and explanatory models. We analyze the partition of the global network structure by means of blockmodeling analysis and we explain the determinants of the differences among universities in attracting students adopting a quantile regression analysis.
2021
2020
Inglese
73
100918
15
Esperti anonimi
internazionale
scientifica
Attractiveness; Blockmodeling; Network centrality; Quantile regression; Student mobility
Goal 4: Quality education
no
Columbu, Silvia; Porcu, Mariano; Primerano, Ilaria; Sulis, Isabella; Vitale, Maria Prosperina
1.1 Articolo in rivista
info:eu-repo/semantics/article
1 Contributo su Rivista::1.1 Articolo in rivista
262
5
partially_open
Files in This Item:
File Size Format  
1-s2.0-S0038012119305245-main (1).pdf

Solo gestori archivio

Description: VoR
Type: versione editoriale
Size 3.66 MB
Format Adobe PDF
3.66 MB Adobe PDF & nbsp; View / Open   Request a copy
seps_2021_p_open_cover.pdf

open access

Description: AAM
Type: Author’s Accepted Manuscript AAM, Post-print, (version accepted by the publisher)
Size 3.01 MB
Format Adobe PDF
3.01 MB Adobe PDF View/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Questionnaire and social

Share on:
Impostazioni cookie