Statistics of business firms is characterized by power law distributions and power law scaling relations among various quantities such as annual sales, number of employees and number of business partners [1]. Complicated trading relation among firms is described by evolution model based on creation-annihilation-aggregation processes [2], and basin structure of money flow can be estimated by a generalized gravity interaction model [3]. Percolation analysis is applied to this trading network, and precise value of percolation threshold and critical exponents are evaluated [4]. We introduce a recent application of our business network modeling in the field of policy making, RESAS [5].

Reference

[1] Hayafumi Watanabe, Hideki Takayasu, Misako Takayasu, "Relations between allometric scalings and fluctuations in complex systems: The case of Japanese   firms", Physica A, 392, 741-756, 2013.

[2] Wataru Miura, Hideki Takayasu, Misako Takayasu "Effect of Coagulation of Nodes in an Evolving Complex Network" Phys. Rev. Lett. 108, 168701 (2012), 5 pages.

[3] Koutarou Tamura, Hideki Takayasu, Misako Takayasu, "Extraction of conjugate main-steam structures from a complex network flow" Phys. Rev. E91, 042815, 7 pages, 2015.

[4] Hirokazu Kawamoto, Hideki Takayasu, Henrik J Jensen, Misako Takayasu "Precise Calculation of a Bond Percolation Transition and Survival Rates of Nodes in a Complex Network",  PLoSONE, 10(4): e0119979, 16 pages, 2015.

• Legal notice:
  

  Copyright (c) Pielaszek Research, all rights reserved.
  The above materials, including auxiliary resources, are subject to Publisher's copyright and the Author(s) intellectual rights. Without limiting Author(s) rights under respective Copyright Transfer Agreement, no part of the above documents may be reproduced without the express written permission of Pielaszek Research, the Publisher. Express permission from the Author(s) is required to use the above materials for academic purposes, such as lectures or scientific presentations.
  In every case, proper references including Author(s) name(s) and URL of this webpage: https://science24.com/paper/31854 must be provided.