Contagion effects in the world network of economic activities
V.Kandiah, H.Escaith, D.L.Shepelyansky

TL;DR
This paper constructs and analyzes a Google matrix of the world economic network to rank countries and sectors, revealing influence dynamics and contagion pathways over time.
Contribution
It introduces a Google matrix approach to analyze the global economic network, accounting for complex interactions between countries and sectors, improving upon traditional trade analysis methods.
Findings
German economic influence increased from 1995 to 2009.
Eurozone influence decreased during the same period.
Network analysis reveals contagion pathways in the global economy.
Abstract
Using the new data from the OECD-WTO world network of economic activities we construct the Google matrix of this directed network and perform its detailed analysis. The network contains 58 countries and 37 activity sectors for years 1995, 2000, 2005, 2008, 2009. The construction of , based on Markov chain transitions, treats all countries on equal democratic grounds while the contribution of activity sectors is proportional to their exchange monetary volume. The Google matrix analysis allows to obtain reliable ranking of countries and activity sectors and to determine the sensitivity of CheiRank-PageRank commercial balance of countries in respect to price variations and labor cost in various countries. We demonstrate that the developed approach takes into account multiplicity of network links with economy interactions between countries and activity sectors thus being more…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEconomic and Technological Innovation · Complex Systems and Time Series Analysis · Complex Network Analysis Techniques
