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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 \cite{comtrade} we construct the Google matrix $G$ of multiproduct world trade between the UN countries and analyze the properties of trade flows on this network for years 1962 - 2010. This…

Statistical Finance · Quantitative Finance 2015-04-02 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

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

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

Development of efficient business process models and determination of their characteristic properties are subject of intense interdisciplinary research. Here, we consider a business process model as a directed graph. Its nodes correspond to…

Computers and Society · Computer Science 2011-12-30 M. Abel , D. L. Shepelyansky

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

In past ten years, modern societies developed enormous communication and social networks. Their classification and information retrieval processing become a formidable task for the society. Due to the rapid growth of World Wide Web, social…

Physics and Society · Physics 2016-07-14 Leonardo Ermann , Klaus M. Frahm , 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

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

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

In the age of globalization, it is natural that the stock market of each country is not independent form the other markets. In this case, collective behavior could be emerged form their dependency together. This article studies the…

Statistical Finance · Quantitative Finance 2017-03-28 M. Saeedian , T. Jamali , M. Z. Kamali , H. Bayani , T. Yasseri , G. R. Jafari

We construct and study the Google matrix of Bitcoin transactions during the time period from the very beginning in 2009 till April 2013. The Bitcoin network has up to a few millions of bitcoin users and we present its main characteristics…

Social and Information Networks · Computer Science 2018-06-29 Leonardo Ermann , Klaus M. Frahm , Dima 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

Automation affects the labour content of work differently across different contexts. Yet, most existing exposure measures assign fixed scores to tasks or occupations, limiting comparisons of automation exposure across countries. We develop…

General Economics · Economics 2026-05-19 Prashant Garg , Tommaso Crosta , Jasmin Baier

We apply the approach of the Google matrix, used in computer science and World Wide Web, to description of properties of neuronal networks. The Google matrix ${\bf G}$ is constructed on the basis of neuronal network of a brain model…

Disordered Systems and Neural Networks · Physics 2010-07-12 D. L. Shepelyansky , O. V. Zhirov

International trade has been increasingly organized in the form of global value chains (GVCs) where different stages of production are located in different countries. This recent phenomenon has substantial consequences for both trade policy…

Physics and Society · Physics 2019-02-20 Zhen Zhu , Greg Morrison , Michelangelo Puliga , Alessandro Chessa , Massimo Riccaboni

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

Since 2008, the network analysis of financial systems is one of the most important subjects in economics. In this paper, we have used the complexity approach and Random Matrix Theory (RMT) for analyzing the global banking network. By…

Statistical Finance · Quantitative Finance 2020-07-30 Ali Namaki , Jamshid Ardalankia , Reza Raei , Leila Hedayatifar , Ali Hosseiny , Emmanuel Haven , G. Reza Jafari

How are economic activities linked to geographic locations? To answer this question, we use a data-driven approach that builds on the information about location, ownership and economic activities of the world's 3,000 largest firms and their…

Physics and Society · Physics 2015-12-10 Antonios Garas , Celine Rozenblat , Frank Schweitzer
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