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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Margarita Golub
International Trade Networks: Network Analysis
Economics
(Bachelor’s programme)
2018
Foreign trade is presented as a network. Trade data are cleared in detail for the correct construction of the graph.A network analysis of international trade in 2003-2016 was conducted. The influence of each country has been found with the classical centrality indices and new indices (SRIC and LRIC), which allow to take into account the indirect influence and size of the country (GDP). The new centrality indices are calculated for several values of quota parameters and the maximum length of influence path. Comparative and correlation analysis of the centrality indices is carried out. The dynamics of the centrality indices of the leading countries and Russia is analyzed. A conclusion is made about the applicability of new centrality indices in the task of the international trade network analysis both for the ranking of countries and for analyzing the dynamics of the country's influence. There is a strong correlation between the ranking of countries for different indices of centrality. The LRIC index, depending on the maximum length of the influence path, reveals various topological features of the network, including the influence of coalitions and the divergence of countries in the levels of influence.

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