Abstract
We construct a network of member states of the United Nations General Assembly based on how similarly they vote on resolutions. We describe a similarity metric that we feel better describes the inter-nation relationships than previously proposed models. Next, we introduce a mechanism to infer the best diplomatic path between countries that do not have high similarity in voting. Lastly, we create a bilateral commodity trade network between countries and evaluate the overlap between the trade and voting networks by applying community detection analysis. Our findings show that generated communities mimic real-world groupings and that there indeed is an alignment between voting and trade networks, paving the way for further studies on the connection between economic dependence and voting behavior.
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Magu, R., Mateos, G. (2018). United Nations General Assembly Vote Similarity Networks. In: Cherifi, C., Cherifi, H., Karsai, M., Musolesi, M. (eds) Complex Networks & Their Applications VI. COMPLEX NETWORKS 2017. Studies in Computational Intelligence, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-319-72150-7_95
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DOI: https://doi.org/10.1007/978-3-319-72150-7_95
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