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In this paper global air traffic data are used to attain an insight in the spatial structure of the network economy. The main emphasis is on identifying and mapping this network through the use of passenger transport flows. Our approach is unique in that for the first time a worldwide (i.e., truly global) perspective is taken because use is made of so-called MIDT data. This exceptional dataset contains information on global airline bookings and connections relating to more than half a billion passengers. The data reveal and confirm interesting global economic and political patterns, typifying the current globalized network economy.
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