The collaboration structure of post-Soviet countries has changed significantly during the past twenty five years
Natalia Matveeva, CInSt Junior Research Fellow, has presented the report on the Evolution of the structure of scientific interaction in Post-Soviet countries at the XLII Social Networks Conference of the International Network for Social Network Analysis, INSNA, Cairns, Australia
The structure of countries' collaboration characterizes the transfer of knowledge between them. We analyze the evolution of the structure of scientific collaboration among post-Soviet countries by co-authorship networks. We applied three types of network normalizations to make publication output of the countries comparable, namely Stochastic normalization, Jaccard normalization, and Balassa normalization. We applied a blockmodeling approach to analyze the structure of the scientific collaboration between countries. Our analysis reveals that the collaboration structure of post-Soviet countries has changed significantly during the past twenty five years. The scientific collaboration has increased, and the previously dominant position of Russia’s academy is decreasing. New groups of intense scientific collaboration have formed, affected by geographical neighborhood, e.g. the Baltic region with Estonia, Latvia, and Lithuania and Asian countries, i.e., Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The effect of the country size is the strongest when using the Stochastic normalization and there is no size effect for the Balassa normalization.