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Using the United Nations Commodity Trade Statistics Database [http://comtrade.un.org/db/] we construct the Google matrix of the world trade network and analyze its properties for various trade commodities for all countries and all available…

General Finance · Quantitative Finance 2012-02-14 Leonardo Ermann , Dima L. Shepelyansky

Using the new data from the OECD-WTO world network of economic activities we construct the Google matrix $G$ of this directed network and perform its detailed analysis. The network contains 58 countries and 37 activity sectors for years…

Statistical Finance · Quantitative Finance 2015-07-21 V. Kandiah , H. Escaith , D. L. Shepelyansky

We develop the Google matrix analysis of the multiproduct world trade network obtained from the UN COMTRADE database in recent years. The comparison is done between this new approach and the usual Import-Export description of this world…

Social and Information Networks · Computer Science 2021-10-08 Justin Loye , Katia Jaffrès-Runser , Dima Shepelyansky

Using the new data from the OECD-WTO world network of economic activities we construct the Google matrix $G$ of this directed network and perform its detailed analysis. The network contains 58 countries and 37 activity sectors for years…

Statistical Finance · Quantitative Finance 2015-07-14 V. Kandiah , H. Escaith , D. L. Shepelyansky

Using the United Nations COMTRADE database we apply the reduced Google matrix (REGOMAX) algorithm to analyze the multiproduct world trade in years 2004-2016. Our approach allows to determine the trade balance sensitivity of a group of…

Statistical Finance · Quantitative Finance 2019-08-08 Célestin Coquidé , Leonardo Ermann , José Lages , D. L. Shepelyansky

Using the United Nations Comtrade database, we perform the Google matrix analysis of the multiproduct World Trade Network (WTN) for the years 2018-2020 comprising the emergence of the COVID-19 as a global pandemic. The applied algorithms --…

Statistical Finance · Quantitative Finance 2022-03-03 Célestin Coquidé , José Lages , Leonardo Ermann , Dima L. Shepelyansky

We apply the recently developed reduced Google matrix algorithm for the analysis of the OECD-WTO world network of economic activities. This approach allows to determine interdependences and interactions of economy sectors of several…

Trading and Market Microstructure · Quantitative Finance 2020-12-15 Célestin Coquidé , José Lages , Dima L. Shepelyansky

Interactions between countries originate from diverse aspects such as geographic proximity, trade, socio-cultural habits, language, religions, etc. Geopolitics studies the influence of a country's geographic space on its political power and…

Social and Information Networks · Computer Science 2018-08-28 Samer El Zant , Katia Jaffrès-Runser , Dima Shepelyansky

The paper analyses trade between the most developed economies of the world. The analysis is based on the previously proposed model of international trade. This model of international trade is based on the theory of general economic…

Trading and Market Microstructure · Quantitative Finance 2025-03-24 N. S. Gonchar , O. P. Dovzhyk , A. S. Zhokhin , W. H. Kozyrski , A. P. Makhort

Countries participate in global value chains by engaging in backward and forward transactions connecting multiple geographically dispersed production stages. Inspired by network theory, we model global trade as a multilayer network and…

Physics and Society · Physics 2021-12-14 Luiz G. A. Alves , Giuseppe Mangioni , Francisco A. Rodrigues , Pietro Panzarasa , Yamir Moreno

We apply the reduced Google matrix method to analyse interactions between 95 terrorist groups and determine their relationships and influence on 64 world countries. This is done on the basis of the Google matrix of the English Wikipedia…

Social and Information Networks · Computer Science 2018-01-18 Samer El Zant , Klaus M. Frahm , Katia Jaffres-Runser , Dima L. Shepelyansky

Geopolitics focuses on political power in relation to geographic space. Interactions among world countries have been widely studied at various scales, observing economic exchanges, world history or international politics among others. This…

Social and Information Networks · Computer Science 2017-07-21 Klaus M. Frahm , Samer El Zant , Katia Jaffrès-Runser , Dima L. Shepelyansky

In this paper we analyze the bipartite network of countries and products from UN data on country production. We define the country-country and product-product projected networks and introduce a novel method of filtering information based on…

Ecological systems have a high level of complexity combined with stability and rich biodiversity. Recently, the analysis of their properties and evolution has been pushed forward on a basis of concept of mutualistic networks that provides a…

General Finance · Quantitative Finance 2015-03-13 Leonardo Ermann , Dima L. Shepelyansky

We study the effect of globalization of world economy between 1980 and 2010 by using network analysis technics on trade and GDP data of 71 countries in the world. We draw results distinguishing relatively developing and relatively developed…

General Economics · Economics 2021-11-05 Xiufeng Yan , Qi Tang

We use the United Nations COMTRADE database for analysis of the multiproduct world trade network. With this data, considered for years 2012-2018, we determined the world trade impact of the Kernel of EU 9 countries (KEU9), being Austria,…

Social and Information Networks · Computer Science 2021-10-08 Justin Loye , Leonardo Ermann , Dima L. Shepelyansky

We study the topological properties of the multinetwork of commodity-specific trade relations among world countries over the 1992-2003 period, comparing them with those of the aggregate-trade network, known in the literature as the…

General Finance · Quantitative Finance 2010-06-22 Matteo Barigozzi , Giorgio Fagiolo , Diego Garlaschelli

The worldwide trade network has been widely studied through different data sets and network representations with a view to better understanding interactions among countries and products. Here we investigate international trade through the…

Physics and Society · Physics 2018-12-12 Luiz G. A. Alves , Giuseppe Mangioni , Francisco A. Rodrigues , Pietro Panzarasa , Yamir Moreno

Critical for policy-making and business operations, the study of global supply chains has been severely hampered by a lack of detailed data. Here we harness international firm-level transaction data covering 20m global firms, and 1 billion…

General Economics · Economics 2025-11-24 Neave O'Clery , Ben Radcliffe-Brown , Thomas Spencer , Daniel Tarling-Hunter

The large-scale organization of the world economies is exhibiting increasingly levels of local heterogeneity and global interdependency. Understanding the relation between local and global features calls for analytical tools able to uncover…

General Finance · Quantitative Finance 2008-12-10 M. Angeles Serrano , Marian Boguna , Alessandro Vespignani
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