Multi-layer spatial mobility network dataset of European higher education institutes
Description
We present a linked and manually verified dataset on mobility between European higher education institutions (HEIs) as a multiplex, multipartite, multi-labeled, spatial network. The added values of this work are the accurate identification and geocoding of the institutions, the integration of institutional- and regional economic data of the European Tertiary Register (ETER) and the Global Research Identifier Database (GRID), and the manual verification of information sources. The proposed integrated and validated networked data can be used for studying socio-economic factors of mobility, profiling HEIs, and measuring their attractivity based on the number of incoming students and lecturers. The database gives the opportunity to researchers of the development of multi-layer, multi-dimensional, spatial and temporal networks to validate their algorithms and define transparent and easily interpretable benchmark problems.