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Random walks on the world input–output network

Random walks on the world input–output network

Piccardi, Carlo, Riccaboni, Massimo, Tajoli, Lucia and Zhu, Zhen ORCID: 0000-0003-0258-1454 (2017) Random walks on the world input–output network. Journal of Complex Networks, 6 (2). pp. 187-205. ISSN 2051-1310 (Print), 2051-1329 (Online) (doi:https://doi.org/10.1093/comnet/cnx036)

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Abstract

Modern production is increasingly fragmented across countries. To disentangle the world production system at sector level, we use the World Input–Output Database to construct the World Input–Output Network (WION) where the nodes are the individual sectors in different countries and the edges are the transactions between them. In order to explore the features and dynamics of the WION, in this article we detect the communities in the WION and evaluate their significance using a random walk Markov chain approach. Our results contribute to the recent stream of literature analysing the role of global value chains in economic integration across countries, by showing global value chains as endogenously emerging communities in the world production system, and discussing how different perspectives produce different results in terms of the pattern of integration.

Item Type: Article
Uncontrolled Keywords: random walks; Markov chains; community detection; input output analysis; world input-output network
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA)
Faculty of Business > Department of International Business & Economics
Last Modified: 16 May 2019 15:42
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: GREAT d
Selected for GREAT 2019: GREAT 4
URI: http://gala.gre.ac.uk/id/eprint/18542

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