Preferential attachment in multiple trade networks
| Autor: | Stefano Schiavo, Rachele Foschi, Massimo Riccaboni |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Statistics and Probability
Internationality Calibration (statistics) Medicine (all) Commerce Statistical and Nonlinear Physics Probability and statistics Growth model Replicate Extension (predicate logic) Models Theoretical Condensed Matter Physics Preferential attachment Variety (cybernetics) Calibration Computer Simulation Theoretical Models Econometrics Set (psychology) Mathematical economics Mathematics |
| Zdroj: | Physical Review E. 90 |
| ISSN: | 1550-2376 1539-3755 |
| Popis: | In this paper we develop a model for the evolution of multiple networks which is able to replicate the concentrated and sparse nature of world trade data. Our model is an extension of the preferential attachment growth model to the case of multiple networks. Countries trade a variety of goods of different complexity. Every country progressively evolves from trading less sophisticated to high-tech goods. The probabilities of capturing more trade opportunities at a given level of complexity and of starting to trade more complex goods are both proportional to the number of existing trade links. We provide a set of theoretical predictions and simulative results. A calibration exercise shows that our model replicates the same concentration level of world trade as well as the sparsity pattern of the trade matrix. We also discuss a set of numerical solutions to deal with large multiple networks. ispartof: Physical Review E vol:90 issue:2 ispartof: location:United States status: published |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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