A GDP-driven model for the binary and weighted structure of the International Trade Network

DOI10.1088/1367-2630/17/1/013009zbMath1452.91204arXiv1409.6649OpenAlexW1981913231MaRDI QIDQ3387590

Diego Garlaschelli, Tiziano Squartini, Assaf Almog

Publication date: 13 January 2021

Published in: New Journal of Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1409.6649

zbMATH Keywords

complex networkseconophysicsmaximum entropy models

Mathematics Subject Classification ID

Macroeconomic theory (monetary models, models of taxation) (91B64) Economic models of real-world systems (e.g., electricity markets, etc.) (91B74) Consumer behavior, demand theory (91B42)

Related Items (1)

Structure of international trade hypergraphs

Cites Work

• Economic complexity: conceptual grounding of a new metrics for global competitiveness
• Interplay between topology and dynamics in the world trade web
• Bootstrapping topological properties and systemic risk of complex networks using the fitness model
• Economic Networks: The New Challenges
• Analytical maximum-likelihood method to detect patterns in real networks

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