  Input Output (IO) tables provide a standardised way of looking at monetary
flows between all industries in an economy. IO tables can be thought of as
networks - with the nodes being different industries and the edges being the
flows between them. We develop a network-based analysis to consider a
multi-regional IO network at regional and subregional level within a country.
We calculate both traditional matrix-based IO measures (e.g. 'multipliers') and
new network theory-based measures at this higher spatial resolution. We
contrast these methods with the results of a disruption model applied to the
same IO data in order to demonstrate that betweenness centrality gives a good
indication of flow on economic disruption, while eigenvector-type centrality
measures give results comparable to traditional IO multipliers.We also show the
effects of treating IO networks at different levels of spatial aggregation.
