Self-consistent gravity model for inferring node mass in flow networks

The gravity model, inspired by Newton’s law of universal gravitation, has been a cornerstone in the analysis of trade flows between countries. In this model, each country is assigned an economic mass, where greater economic masses lead to stronger trade interactions. Traditionally, proxy variables l...

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Bibliographic Details
Published in:	Scientific reports Vol. 15; no. 1; pp. 18839 - 10
Main Authors:	Lee, Daekyung, Cho, Wonguk, Kim, Heetae, Kim, Gunn, Jeong, Hyeong-Chai, Kim, Beom Jun
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 29.05.2025 Nature Publishing Group Nature Portfolio
Subjects:	639/766/259 639/766/530 Data-driven analysis Economics GDP Gravity model Gross Domestic Product Humanities and Social Sciences Inference algorithm International trade multidisciplinary Science Science (multidisciplinary) Trade flow Traffic control Gravity model Data-driven analysis Trade flow Inference algorithm
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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