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This paper presents an empirical study of the globalizing urbanlandscape in the post-Soviet region. In order to understand theposition of cities in relation to each other in the context ofeconomic globalization, the study considers the transnationalcity network in the post-Soviet region. At the center of analysis are the locational strategies of global service firms operating in the former Soviet cities. We adapt the interlocking network model proposed by the Globalization and World Cities research(GaWC) network to the regional level to uncover the interurban relations. Unlike the classical studies of the GaWC, this study focuses on the analysis of intraregional spatial patterns of glo-balization. The research shows that the globalizing regional city system is in the midst of substantial restructuring and that the state of former Soviet Union (FSU) cities in relation to Moscow is altering. The integration of FSU cities into the global economy mostly occurs through capital cities. However, under the current political and economic circumstances, the position of each capital city within the region has become diversified. The analysis indicates that the globalization of cities within a particular region reproduces similar processes on a world scale, which are characterized by spatial concentration and hierarchical relations. However, our research has shown that patterns of urban globalization at the regional level significantly depend on the historical context and national economic and political tendencies,thus creating conditions for the penetration of the world economy into cities.

This paper discusses intercity networks within the former Soviet Union (FSU), a semi-periphery of the global economic system of interactions. Intercity networks are constructed following an assumption that interaction between offices of the same corporation indicates connectivity between cities. In the FSU global corporations operate against a backdrop of continuous uncertainty. Consequently, it is possible to estimate temporal dynamics and spatial distribution of uncertainty by looking at the evolving structures of global companies with the example of global advanced producer service (APS) companies. These companies are regarded as brokers, integrating the region into the global business activities. The dataset comprises structures of the APS firms within the region in 2015 and 2018. A comparative analysis of networks in 2015 and 2018 demonstrates temporal dynamics of network reconfiguration and unequal spatial distribution of corporate offices in uncertain conditions. Through the lens of the network transformation, we reveal the continuous restructuring and peripheralization of the region.