Scientific collaboration is often perceived as a joint global process that involves researchers worldwide, regardless of their place of work and residence. Globalization of science, in this respect, implies that collaboration among scientists takes place along the lines of common topics and...

Scientific collaboration, in most cases, is seen a joint action on a global scale that involves researchers from not just one region or one country but instead forming an international network of researchers. This type of epistemic communities build up especially in the case of analytical modes...

Zhongguancun Science Park (ZGC) in Beijing is considered the most innovative region in China. This paper is based on a quantitative survey among ZGC companies that captures the cooperation patterns of the firms. The survey was funded by the German Research Association (DFG). In the process of...

This paper analyses the spatial configurations of knowledge networks and their overlap with spatial concentrations, such as urban agglomerations. It proposes a typology of spatial concentrations in knowledge networks, and uses data from academic coauthorships in the field of optical technology...

We study phase synchronization between atmospheric variables such as daily mean temperature and daily precipitation records. We find significant phase synchronization between records of Oxford and Vienna as well as between the records of precipitation and temperature in each city. To find the...

We consider the sectoral composition of a country's GDP, i.e. the partitioning into agrarian, industrial, and service sectors. Exploring a simple system of differential equations we characterize the transfer of GDP shares between the sectors in the course of economic development. The model fits...

Phenological timing–i.e. the course of annually recurring development stages in nature–is of particular interest since it can be understood as a proxy for the climate at a specific region; moreover changes in the so-called phenological phases can be a direct consequence of climate change. We...

We use the Detrended Fluctuation Analysis (DFA) to quantify underlying trends in long-term correlated records. Our approach is based on the fact that different orders of DFA are affected differently by trends. For a given instrumental record of length N, we compare the fluctuation exponent α0...

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Der Beitrag gliedert sich wie folgt: Zunächst wird die Arbeit von Giese/Moßig (2004) zum Klimawandel in Zentralasien aufgegriffen und die Ergebnisse herkömmlicher Verfahren zur Bestimmung der Temperaturentwicklung anhand der vorliegenden Zeitreihen kurz dargestellt (Kapitel 2). Im Anschluss...