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Social Network Analysis Methods and the Geography of Education: Regional Divides and Elite Circuits in the School to University Transition in the UK
Author(s) -
Gamsu Sol,
Donnelly Michael
Publication year - 2021
Publication title -
tijdschrift voor economische en sociale geografie
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 55
eISSN - 1467-9663
pISSN - 0040-747X
DOI - 10.1111/tesg.12413
Subject(s) - elite , economic geography , social network analysis , sociology , regional geography , geography , archipelagic state , regional science , transition (genetics) , social mobility , higher education , social science , human geography , economic growth , political science , social capital , biochemistry , chemistry , politics , law , economics , gene
Abstract This paper uses social network analysis methods to explore how the spatial mobility of students to attend university creates regional divisions and socio‐spatial hierarchies of schools and universities. Using community detection methods as our methodological lens we stitch together regional economic geography, the student mobilities literature and the sociological and geographical analysis of elite education. Combining these statistical techniques with qualitative data from our broader study, we explore student flows between different geographical areas in the UK for universities. The clusters or ‘communities’ of areas underline how student migration to attend university in the UK is a moment which reflects and re‐creates regional and national boundaries. The second part of the paper examines school to university student flows, highlighting a distinctive, predominantly English cluster of elite schools and universities. Examining student mobility patterns with network methods allows us to distinguish a distinctive archipelagic geography of elite formation through higher education.