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We apply social network analysis to examine school choice in the second-largest Russian city Saint-Petersburg. We use online data (“digital footprints”) of between-schools comparisons on a large school information resource shkola-spb.ru. This resource allows to identify clusters of city schools that have been compared to each other more often and thus reflect choice preferences of students and parents looking for a school. Network analysis is conducted in R (‘igraph’ package). For community...
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A spatial decision support system based on geo-informatics and spatial modelling tools has been used to provide a reorganization plan of school networks, The study was undertaken in collaboration with the Ministry of Education and Research of Estonia
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