scholarly journals Community structure in the World Trade Network based on communicability distances

2020 ◽  
Author(s):  
Paolo Bartesaghi ◽  
Gian Paolo Clemente ◽  
Rosanna Grassi
Keyword(s):  
Community Structure ◽  
Numerical Analysis ◽  
World Trade ◽  
Metric Spaces ◽  
Trade Network ◽  
Distance Threshold ◽  
Alternative Clustering ◽  
Mesoscale Structure ◽  
Long Range Interactions ◽  
The World

AbstractIn this paper, we investigate the mesoscale structure of the World Trade Network. In this framework, a specific role is assumed by short- and long-range interactions, and hence by any suitably defined network-based distance between countries. Therefore, we identify clusters through a new procedure that exploits Estrada communicability distance and the vibrational communicability distance, which turn out to be particularly suitable for catching the inner structure of the economic network. The proposed methodology aims at finding the distance threshold that maximizes a specific quality function defined for general metric spaces. Main advantages regard the computational efficiency of the procedure as well as the possibility to inspect intercluster and intracluster properties of the resulting communities. The numerical analysis highlights peculiar relationships between countries and provides a rich set of information that can hardly be achieved within alternative clustering approaches.

scholarly journals Hubs and Authorities in the World Trade Network Using a Weighted HITS Algorithm

PLoS ONE ◽  
2014 ◽  
Vol 9 (7) ◽  
pp. e100338 ◽  
Author(s):  
Tsuyoshi Deguchi ◽  
Katsuhide Takahashi ◽  
Hideki Takayasu ◽  
Misako Takayasu
Keyword(s):  
World Trade ◽  
Trade Network ◽  
The World ◽  
Hits Algorithm

scholarly journals Structure and evolution of the world trade network

2005 ◽  
Vol 355 (1) ◽  
pp. 138-144 ◽  
Author(s):  
Diego Garlaschelli ◽  
Maria I. Loffredo
Keyword(s):  
World Trade ◽  
Trade Network ◽  
The World

scholarly journals A stochastic generative model of the World Trade Network

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Javier García-Algarra ◽  
Mary Luz Mouronte-López ◽  
Javier Galeano
Keyword(s):  
Stochastic Model ◽  
World Trade ◽  
Preferential Attachment ◽  
Weighted Degree ◽  
Trade Network ◽  
Exchange Flows ◽  
The World ◽  
Generative Mechanisms ◽  
Source Of Information ◽  
Synthetic Networks

AbstractThe World Trade Network (WTN) is a network of exchange flows among countries whose topological and statistical properties are a valuable source of information. Degree and strength (weighted degree) are key magnitudes to understand its structure and generative mechanisms. In this work, we describe a stochastic model that yields synthetic networks that closely mimic the properties of annual empirical data. The model combines two popular mechanisms of network generation: preferential attachment and multiplicative process. Agreement between empirical and synthetic networks is checked using the available series from 1962 to 2017.

scholarly journals Post-Brexit Power of European Union From the World Trade Network Analysis

2021 ◽  
pp. 39-47
Author(s):  
Justin Loye ◽  
Katia Jaffrès-Runser ◽  
Dima L. Shepelyansky
Keyword(s):  
European Union ◽  
World Trade ◽  
Dominant Role ◽  
Matrix Analysis ◽  
The European Union ◽  
Trade Network ◽  
Google Matrix ◽  
The World ◽  
Leading Position

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 trade network. The Google matrix analysis takes into account the multiplicity of trade transactions thus highlighting in a better way the world influence of specific countries and products. It shows that after Brexit, the European Union of 27 countries has the leading position in the world trade network ranking, being ahead of USA and China. Our approach determines also a sensitivity of trade country balance to specific products showing the dominant role of machinery and mineral fuels in multiproduct exchanges. It also underlines the growing influence of Asian countries.

scholarly journals Network Analysis of World Trade using the BACI-CEPII Dataset

2014 ◽  
Vol 14 (03n04) ◽  
pp. 287-343 ◽  
Author(s):  
Luca De Benedictis ◽  
Silvia Nenci ◽  
Gianluca Santoni ◽  
Lucia Tajoli ◽  
Claudio Vicarelli
Keyword(s):  
International Trade ◽  
Network Analysis ◽  
World Trade ◽  
Centrality Measures ◽  
Trade Network ◽  
Weighted Version ◽  
Trade Data ◽  
Hands On ◽  
The World

In this paper we explore the BACI-CEPII database using Network Analysis. From the visualization of the World Trade Network, we define and describe its topology, both in its binary version and in its weighted version, by calculating and discussing a number of the commonly used network statistics. We finally discuss various specific topics that can be studied with Network Analysis and International Trade data, both at the aggregated and at the sectorial level. The analysis is carried out with multiple software (Stata, R and Pajek). The scripts to replicate part of the analysis are included in the appendix and can be used as a hands-on tutorial. Moreover, local and global centrality measures, based on the unweighted and the weighted version of the aggregated World Trade Network, have been calculated for each country (178 in total) and each year (from 1995 to 2010) and can be downloaded from the CEPII webpage.

The World Trade Network

World Economy ◽  
2011 ◽  
Vol 34 (8) ◽  
pp. 1417-1454 ◽  
Author(s):  
Luca De Benedictis ◽  
Lucia Tajoli
Keyword(s):  
World Trade ◽  
Trade Network ◽  
The World

scholarly journals ’n Verkenning van Suid-Afrika se veranderende posisie in die wêreldhandelnetwerk 1948–1994

2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Burgert A. Senekal
Keyword(s):  
South Africa ◽  
World Trade ◽  
Centrality Measures ◽  
Trade Network ◽  
Peripheral Country ◽  
The Core ◽  
The World

An exploration of South Africa’s changing position in the World Trade Network 1948–1994. The World Trade Network (WTN) has been studied as a network in numerous studies. However, countries with smaller economies are usually neglected in discussions of the WTN, and hence this article investigates the changing position of a much smaller country, South Africa, under different leaders from 1948 to 1994. It is shown, in particular, how the widespread sanctions incurred under the leadership of P.W. Botha (1978–1989) had a profound effect on South Africa’s position in the WTN. Using degree, closeness and betweenness centralities, as well as the country’s rankings on these centrality measures, it is shown that South Africa started as a peripheral country while still a colony of Britain, moved closer to the core of the WTN under H.F. Verwoerd and B.J. Vorster, but then sanctions pushed South Africa to the periphery under P.W. Botha, before South Africa again moved closer to the core during F.W. de Klerk’s presidency.Die Wêreldhandelnetwerk is in verskeie studies as ’n netwerk bestudeer, maar lande met kleiner ekonomieë word gewoonlik in die besprekings van die Wêreldhandelnetwerk verwaarloos. Daarom ondersoek hierdie artikel die veranderende posisie van ’n veel kleiner land, Suid-Afrika, onder verskillende leiers van 1948 tot 1994. Daar word veral gewys hoe die wydverspreide sanksies wat ingestel is tydens die bewind van P.W. Botha (1978–1989) ’n groot invloed op Suid-Afrika se posisie in die WTN gehad het. Deur middel van graad-, nabyheid- en tussenliggingsentraliteit, sowel as die land se ranglys ten opsigte van hierdie sentraliteitaanduiders, word aangetoon dat Suid-Afrika as ‘n randland begin het, terwyl dit nog ‘n kolonie van Brittanje was, nader aan die kern van die Wêreldhandelnetwerk onder H.F. Verwoerd en B.J. Vorster beweeg het, maar toe het sanksies Suid-Afrika onder P.W. Botha na die periferie gedruk, voordat Suid-Afrika weer tydens die F.W. de Klerk se presidentskap nader aan die kern beweeg het.

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