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A multilayer and spatial description of the Erasmus mobility network.

László GadárZsolt T KosztyánAndrás TelcsJános Abonyi
Published in: Scientific data (2020)
The Erasmus Programme is the biggest collaboration network consisting of European Higher Education Institutions (HEIs). The flows of students, teachers and staff form directed and weighted networks that connect institutions, regions and countries. Here, we present a linked and manually verified dataset of this multiplex, multipartite, multi-labelled, spatial network. We enriched the network with institutional socio-economic data from the European Tertiary Education Register (ETER) and the Global Research Identifier Database (GRID). We geocoded the headquarters of institutions and characterised the attractiveness and quality of their environments based on Points of Interest (POI) data. The linked datasets provide relevant information to grasp a more comprehensive understanding of the mobility patterns and attractiveness of the institutions.
Keyphrases
  • healthcare
  • electronic health record
  • network analysis
  • big data
  • randomized controlled trial
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  • study protocol
  • machine learning
  • data analysis
  • computed tomography
  • social media
  • rna seq