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SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 25: Economic Networks
SOE 25.2: Talk
Friday, March 22, 2024, 11:15–11:30, MA 001
Integrated model of B-to-B trade network reproducing all major empirical laws: from structural evolution to monetary flows — •Jun'ichi Ozaki1, Eduardo Viegas1,2, Hideki Takayasu1,3, and Misako Takayasu1 — 1Tokyo Institute of Technology, Yokohama, Japan — 2Imperial College London, London, United Kingdom — 3Sony Computer Science Laboratories, Inc., Tokyo, Japan
This study presents a novel two-layered model framework designed to comprehensively capture and replicate both the statistical properties of networks and the intrinsic quantities of interacting agents. Departing from traditional isolated investigations, our framework seamlessly integrates methods associated with temporal network structures and those related to transport flows.
Our approach enables the simultaneous emergence of tent-shaped distributions in agents' growth rates and scaling properties within the network. To validate our model framework and dynamics, we apply them to the real-world context of the inter-firm trading network in Japan. Comparative analysis of statistical distributions at both network and agent levels over time is strongly consistent with seven empirical laws observed in empirical data: degree distribution, mean degree growth rate over time, age distribution of firms, preferential attachment, sales distribution in steady states, and growth rates, as well as scaling relations.
Keywords: Complex Networks; Computational Social Science; Modeling; Temporal Networks