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Using network science to quantify economic disruptions in regional input-output networks

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Document pages: 13 pages

Abstract: Input Output (IO) tables provide a standardised way of looking at monetaryflows between all industries in an economy. IO tables can be thought of asnetworks - with the nodes being different industries and the edges being theflows between them. We develop a network-based analysis to consider amulti-regional IO network at regional and subregional level within a country.We calculate both traditional matrix-based IO measures (e.g. multipliers ) andnew network theory-based measures at this higher spatial resolution. Wecontrast these methods with the results of a disruption model applied to thesame IO data in order to demonstrate that betweenness centrality gives a goodindication of flow on economic disruption, while eigenvector-type centralitymeasures give results comparable to traditional IO multipliers.We also show theeffects of treating IO networks at different levels of spatial aggregation.

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