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Multilayer-Dynamic Network Clustering with Application to World Trade Data
International trade data, such as the FAO dataset, can be naturally represented as \emph{multilayer-dynamic networks}, where countries are nodes, trade relationships are edges, different products correspond to different layers, and networks evolve over time. An important problem is how to identify e
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