Influence of Countries in the Global Arms Transfers Network: 1950–2018
Using the SIPRI Arms Transfers Database covering all trade in military equipment over the period 1950–2018, we examine the relationship between countries from a novel empirical perspective. We consider the arms transfers network as a multiplex network where each layer corresponds to a particular armament category. First, we analyze how different layers overlap and elucidate main ties between countries. Second, we consider different patterns of trade in order to identify countries specializing on particular armament categories and analyze how they change their export structure in dynamic. We also examine how countries influence each other at different layers of multiplex network. Finally, we analyze the influence of countries in the whole network.
KeywordsArms transfers Influence Multiplex network Dynamic
The article was prepared within the framework of the Basic Research Program at the National Research University Higher School of Economics (HSE) and supported within the framework of a subsidy by the Russian Academic Excellence Project ‘5–100’. The influence analysis of countries (Sect. 3) was funded by the Russian Science Foundation under grant № 17-18-01651.
- 3.Kinsella, D.: Changing structure of the arms trade: a social network analysis. Presented at the Annual Meeting of the American Political Science Association. Philadelphia, PA (2003)Google Scholar
- 6.Kinsella, D.: Power transition theory and the global arms trade: exploring constructs from social network analysis. Political Science Faculty Publications and Presentations (2013)Google Scholar
- 7.SIPRI:. The SIPRI Arms transfers database (2019). Accessed 1 July 2019Google Scholar
- 8.Simmel, V., Holtom, P., Bromley, M.: Measuring international arms transfers. Stockholm International Peace Research Institute (SIPRI) (2012)Google Scholar
- 14.Rochat, Y.: Closeness centrality extended to unconnected graphs: the harmonic centrality index. ASNA (2009)Google Scholar
- 15.Aleskerov, F., Meshcheryakova, N, Shvydun, S.: Centrality measures in networks based on nodes attributes, long-range interactions and group influence. arXiv preprint arXiv:1610.05892
- 16.Aleskerov, F.T., Meshcheryakova, N.G., Shvydun, S.V.: Power in network structures. In: Kalyagin, V.A., Nikolaev, A.I., Pardalos, P.M., Prokopyev, O. (eds.) Models, Algorithms, and Technologies for Network Analysis. Springer Proceedings in Mathematics & Statistics, vol. 197, pp. 79–85. Springer (2017)Google Scholar
- 18.Cozzo, E., de Arruda, G.F., Rodrigues, F.A., Moreno, Y.: Multilayer networks: metrics and spectral properties. In: Garas, A. (eds.) Interconnected Networks. Understanding Complex Systems. Springer, Cham (2016)Google Scholar