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Science and academia are complex systems with many agents at different levels. At the micro-level, individuals pursue research and hold academic positions. At the mesa-level, these individuals form collaboration teams, departments and universities and pursue goals together. At the macro-level, the universities are linked together by global communication and collaborations. This complexity makes quantification and evaluation of these structures difficult. How are different universities linked together? How are different fields of science connected? Which individuals push the boundaries of…mehr

Produktbeschreibung
Science and academia are complex systems with many agents at different levels. At the micro-level, individuals pursue research and hold academic positions. At the mesa-level, these individuals form collaboration teams, departments and universities and pursue goals together. At the macro-level, the universities are linked together by global communication and collaborations. This complexity makes quantification and evaluation of these structures difficult. How are different universities linked together? How are different fields of science connected? Which individuals push the boundaries of science further? How should funding agencies allocate funding across this vast system? The field of scientometrics tries to answer such questions using quantitative, large-scale methods (Leydesdorff, 2001; Leydesdorff & Milojevi¿c, 2015). Increase in computation power and the rising availability of accessible databases of scientific information has made such an approach possible.