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Related Experiment Video

Updated: Aug 23, 2025

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior

Published on: July 24, 2017

Network analysis of international export pattern.

Dilek Gönçer-Demiral¹, Meltem İnce-Yenilmez²

¹Department of Foreign Trade, Recep Tayyip Erdogan University, Rize, Türkiye.

Social Network Analysis and Mining

|October 31, 2022

Summary

This summary is machine-generated.

This study used network analysis to examine global trade flows among the top 50 exporting countries. It reveals how geographic proximity and key players influence trade, especially during the COVID-19 pandemic.

Keywords:

Export Gephi Network Social Network analysis Trade flow

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Area of Science:

Economic Geography
Network Science
International Trade

Background:

Economic growth and development are intrinsically linked to international trade flows.
Network analysis offers a robust framework for quantifying the structural properties of global trade relationships.
Understanding trade dynamics is crucial for economic policy, particularly in the face of global disruptions.

Purpose of the Study:

To analyze the network structure of international trade for the top 50 exporting countries.
To investigate the impact of the COVID-19 pandemic on global commercial flows.
To identify the role of geographic proximity, key trading partners, and central economies in the global trade network.

Main Methods:

Utilized social network analysis software (Gephi 0.9.2) to model trade relationships.
Applied network analysis techniques to quantify structural properties of trade networks.
Examined trade data for the 50 largest exporting countries worldwide.

Main Results:

Confirmed the significant influence of geographic proximity on trade partnerships.
Identified specific countries acting as central hubs within the global trade network.
Observed shifts and disruptions in commercial flows attributable to the COVID-19 pandemic.

Conclusions:

Network analysis effectively visualizes and quantifies complex international trade patterns.
Geographic proximity remains a critical factor in establishing and maintaining trade relationships.
The COVID-19 pandemic has demonstrably altered global trade dynamics, highlighting the interconnectedness and vulnerabilities of the world economy.