Analysis of Webspaces of the Siberian Branch of the Russian Academy of Sciences and the Fraunhofer-Gesellschaft

Matthias Dehmer, A. Dobrynin, Elena , V. Konstantinova, Andrei Yu. Vesnin , Olga A. Klimenko, Yuri I. Shokin, Elena V. Rychkova, Alexey N. Medvedev


Two webspaces of academic institutions of the Siberian Branch of Russian Academy of Sciences (SB RAS) and of the Fraunhofer-Gesellschaft (FG), Germany, will be investigated. The webspaces are represented by directed graphs possessing vertices corresponding to websites. An arc connects two vertices if there exists at least one hyperlink between the corresponding websites. Webometrics is used for ranking the websites of SB RAS and FG. We discuss numerical results when studying the websites structurally. In particular, we examine scientific communities of the underlying websites representing directed graphs and draw important conclusions.


network; webometrics; quantitative measure; communities


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