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Physica A: Statistical Mechanics and its ApplicationsVolume 392, Issue 24, 15 December 2013, Pages 6427-6441

Network structure of inter-industry flows(Article)(Open Access)

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  • aDepartment of Physics, Boston University, Boston, MA 02215, United States
  • bSanta Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87508, United States
  • cUNU-MERIT, Maastricht University, Keizer Karelplein 19, 6211 TC Maastricht, Netherlands
  • dDepartment of Biological Sciences, Towson University, 8000 York Road, Towson, MD 21252, United States
  • eInternational Institute for Applied Systems Analysis, Schlossplatz 1, A-2361 Laxenberg, Austria

Abstract

We study the structure of inter-industry relationships using networks of money flows between industries in 45 national economies. We find these networks vary around a typical structure characterized by a Weibull link weight distribution, exponential industry size distribution, and a common community structure. The community structure is hierarchical, with the top level of the hierarchy comprising five industry communities: food industries, chemical industries, manufacturing industries, service industries, and extraction industries. © 2013 Elsevier B.V. All rights reserved.

Author keywords

Industrial networkInput/output tableMacroeconomicsMoney flowsNational accounting

Indexed keywords

Engineering controlled terms:Chemical industryEconomicsWeibull distribution
Engineering uncontrolled termsIndustrial networksInput/outputMacroeconomicsMoney flowsNational accounting
Engineering main heading:Service industry

Funding details

Funding sponsor Funding number Acronym
National Science Foundation
See opportunities by NSF		0738187,SBE0738187NSF
International Institute for Applied Systems AnalysisIIASA

  • 1

    JM gratefully acknowledges financial support from NSF Grant SBE0738187 . We thank the International Institute for Applied Systems Analysis (IIASA) and the Young Scientists Summer Program (YSSP) where this research began, with financial support from The National Academies. We thank the Santa Fe Institute for support during the continuation of this research. We thank Aaron Clauset, Ben Good, and Doyne Farmer for several helpful conversations and suggestions.

  • ISSN: 03784371
  • CODEN: PHYAD
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1016/j.physa.2013.07.063
  • Document Type: Article
  • Publisher: Elsevier B.V.

  McNerney, J.; Department of Physics, Boston University, United States;
© Copyright 2021 Elsevier B.V., All rights reserved.

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