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Blöchl, F. ; Theis, F.J. ; Vega-Redondo, F.* ; Fisher, E.*

Vertex centralities in input-output networks reveal the structure of modern economies.

Phys. Rev. E 83:046127 (2011)
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Input-output tables describe the flows of goods and services between the sectors of an economy. These tables can be interpreted as weighted directed networks. At the usual level of aggregation, they contain nodes with strong self-loops and are almost completely connected. We derive two measures of node centrality that are well suited for such networks. Both are based on random walks and have interpretations as the propagation of supply shocks through the economy. Random walk centrality reveals the vertices most immediately affected by a shock. Counting betweenness identifies the nodes where a shock lingers longest. The two measures differ in how they treat self-loops. We apply both to data from a wide set of countries and uncover salient characteristics of the structures of these national economies. We further validate our indices by clustering according to sectors’ centralities. This analysis reveals geographical proximity and similar developmental status.
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Publication type Article: Journal article
Document type Scientific Article
Keywords no keywords
Language english
Publication Year 2011
HGF-reported in Year 2011
ISSN (print) / ISBN 1063-651X
e-ISSN 1550-2376
Journal Physical Review E
Quellenangaben Volume: 83, Issue: 4, Pages: , Article Number: 046127 Supplement: ,
Publisher American Physical Society (APS)
Publishing Place Melville, NY
Reviewing status Peer reviewed
Institute(s) Institute of Bioinformatics and Systems Biology (IBIS)
POF-Topic(s) 30505 - New Technologies for Biomedical Discoveries
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-503700-004
DOI 10.1103/PhysRevE.83.046127
Scopus ID 79961034439
Erfassungsdatum 2011-12-12
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