Network analysis of international export pattern

Gönçer Demiral D., İnce Yenilmez M.

Social Network Analysis and Mining, cilt.12, sa.156, ss.1-16, 2022 (ESCI) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 12 Sayı: 156
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1007/s13278-022-00984-8
  • Dergi Adı: Social Network Analysis and Mining
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
  • Sayfa Sayıları: ss.1-16
  • Anahtar Kelimeler: Gephi, Social Network analysis, Trade flow, Export, Network, LONGITUDINAL ANALYSIS, TRADE, CENTRALITY, COUNTRIES
  • Recep Tayyip Erdoğan Üniversitesi Adresli: Evet

Özet

There is a relationship between the trade flows of the countries and their economic growth potential and development. One way to analyze the trade flows of countries with each other is the use of network analysis techniques. Network analysis uses a visual, mathematical and statistical approach to identify and quantify the structural properties of networks. In this study, the relationship of the first 50 countries in the world in terms of export volume was evaluated with Gephi 0.9.2, one of the social network analysis programs. The effect of the COVID-19 epidemic disease on the commercial flows of the countries is the main purpose of the study. The existence of the effective role of geographic proximity in commercial flows, the commercial partners of the countries, the centrality criteria and the existence of countries that have an active role in the world are clarified with this study.