دورية أكاديمية

World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network

التفاصيل البيبلوغرافية
العنوان: World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network
المؤلفون: Justin Loye, Leonardo Ermann, Dima L. Shepelyansky
المصدر: Applied Network Science, Vol 6, Iss 1, Pp 1-15 (2021)
بيانات النشر: SpringerOpen, 2021.
سنة النشر: 2021
المجموعة: LCC:Applied mathematics. Quantitative methods
مصطلحات موضوعية: Complex networks, World trade, Google matrix, PageRank, Applied mathematics. Quantitative methods, T57-57.97
الوصف: Abstract We use the United Nations COMTRADE database for analysis of the multiproduct world trade network. With this data, considered for years 2012–2018, we determined the world trade impact of the Kernel of EU 9 countries (KEU9), being Austria, Belgium, France, Germany, Italy, Luxembourg, Netherlands, Portugal, Spain, considered as one united country. We apply the advanced Google matrix analysis for investigation of the influence of KEU9 and show that KEU9 takes the top trade network rank positions thus becoming the main player of the world trade being ahead of USA and China. Our network analysis provides additional mathematical grounds in favor of the recent proposal (Saint-Etienne in: Osons l’Europe des Nations. Editions de l’Observatoire/Humensis, Paris, 2018) of KEU9 super-union which is based only on historical, political and economy basis.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2364-8228
Relation: https://doaj.org/toc/2364-8228
DOI: 10.1007/s41109-021-00380-9
URL الوصول: https://doaj.org/article/895d54a954a54b298176e222687cb1ca
رقم الأكسشن: edsdoj.895d54a954a54b298176e222687cb1ca
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23648228
DOI:10.1007/s41109-021-00380-9