The use of nodes attributes in social network analysis with an application to an international trade network

2018 ◽  
Vol 491 ◽  
pp. 249-270 ◽  
Author(s):  
Ricardo Lopes de Andrade ◽  
Leandro Chaves Rêgo
Keyword(s):  
International Trade ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Trade Network ◽  
International Trade Network

A Framework for Detecting Weighted Communities in the International Trade Network

2014 ◽  
Vol 513-517 ◽  
pp. 2059-2062
Author(s):  
Lei Ming Yan ◽  
Jin Han
Keyword(s):  
Social Networks ◽  
International Trade ◽  
Social Network ◽  
Network Analysis ◽  
Trade Network ◽  
Open Problems ◽  
Community Discovery ◽  
Detection Algorithms ◽  
Dynamic Community ◽  
International Trade Network

Community discovery is a crucial task in social network analysis, especially in describing the evolution of social networks. Although some works have focused on finding the dynamic community, there are still some open problems need to be conquered, such as analyzing the dynamic and weighted community. In this paper, we propose a framework for analyzing weighted communities and their evolutions via clustering correlated weight vectors to enhance existing community detection algorithms. The International trade network is used to verify our framework. Experiments show that the framework discovers and captures the evolving behaviors with temporal elements and weight values.

Social network analysis as a tool for the analysis of international trade of wood and non-wood forest products

2018 ◽  
Vol 86 ◽  
pp. 45-66 ◽  
Author(s):  
Marko Lovrić ◽  
Riccardo Da Re ◽  
Enrico Vidale ◽  
Davide Pettenella ◽  
Robert Mavsar
Keyword(s):  
International Trade ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Forest Products

An Empirical Analysis of International Trade Network of Iron Ore

2010 ◽  
Vol 40-41 ◽  
pp. 887-893
Author(s):  
Cong Cong Wang
Keyword(s):  
International Trade ◽  
Social Network ◽  
Empirical Analysis ◽  
Bargaining Power ◽  
Iron Ore ◽  
International Negotiations ◽  
Trade Network ◽  
Trade Relationships ◽  
Bargaining Positions ◽  
International Trade Network

This paper uses data of international iron ore trade in 2009, which cover 61 countries and 134 trade relationships, to evaluate the bargaining power of both export and import countries from the perspective of social network. The countries’ positions in the iron ore trade network and their bargaining power are examined through analysis of their Freeman degree centralities, Bonacich powers, betweenness centralities, and flow centralities. The results of these analyses identify prominent exporters, importers and brokers with great bargaining power, and countries with potential to improve their bargaining positions. The results also reveal the reason why the international negotiations of iron ore trade were almost always in favor of exporters.

scholarly journals How the Global Trade Linkages are Evolving? -Insight from Social Network Analysis Based on Global Multi-Regional Input-Output

2021 ◽  
pp. 9-24
Author(s):  
Kaiyao Wu ◽  
Chi Zhou ◽  
Dechun Yan
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Structure ◽  
Developed Countries ◽  
Global Trade ◽  
Input Output ◽  
Trade Network ◽  
Global Pattern ◽  
The Developed Countries

With the rise and fall of the trade shares of different countries in the world, does the trade network structure change at the same time? Do the dynamics of countries’ positions differ in the evolution of trade network structure? Based on the latest world input-output database (WIOD), this paper illustrates the accounting models of international trade, and describes the dynamics of the global trade network structure and the countries’ positions. Research shows that China and the emerging countries developed faster than the developed countries during 2000-2014, and play important roles, not only in the trade shares, but also in global trade networks. The innovation of this study is that we present a systemic and explicit portrait of the global pattern of trade linkages between countries based on a set of social network analysis methods, and we find that the dynamic of linkage network is more violative than that of linkage flow.

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