Modelling the impact of spatial proximity on scientific collaboration networks
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Hannah Busen [1] ; Christiane Fuchs
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[1] Bielefeld University
Bielefeld University
Kreisfreie Stadt Bielefeld, Alemania
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- Localización: Proceedings of the 35th International Workshop on Statistical Modelling : July 20-24, 2020 Bilbao, Basque Country, Spain / Itziar Irigoien Garbizu (ed. lit.), Dae-Jin Lee (ed. lit.), Joaquín Martínez Minaya (ed. lit.), María Xosé Rodríguez Álvarez (ed. lit.), 2020, ISBN 978-84-1319-267-3, págs. 298-301
- Idioma: inglés
- Enlaces
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Resumen
Spatial proximity between researchers may lead to more frequent or more intense collaboration than between scientists who work at large distance from each other. We aim to investigate the impact of proximity within research institutions on the implementation of interdisciplinary collaborations. Our data contains publications and building distances from two research institutions, the Helmholtz Zentrum Mnchen and Bielefeld University. De ning collaboration as the number of joint publications, we use exploratory and network analyses to answer the question if researchers are more likely to work together if they are at small distance to each other. The methodological focus lies on accounting for the dependency structure in network data. Outcomes of this study may inform about how to target the promotion of interdisciplinary research.
