Fractal and multifractal analysis of complex networks: Estonian network of payments

Stephanie Rendón de la Torre (), Jaan Kalda, Robert Kitt and Jüri Engelbrecht
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Stephanie Rendón de la Torre: School of Science, Department of Cybernetics, Tallinn University of Technology
Jaan Kalda: School of Science, Department of Cybernetics, Tallinn University of Technology
Robert Kitt: School of Science, Department of Cybernetics, Tallinn University of Technology
Jüri Engelbrecht: School of Science, Department of Cybernetics, Tallinn University of Technology

The European Physical Journal B: Condensed Matter and Complex Systems, 2017, vol. 90, issue 12, 1-8

Abstract: Abstract Complex networks have gained much attention from different areas of knowledge in recent years. Particularly, the structures and dynamics of such systems have attracted considerable interest. Complex networks may have characteristics of multifractality. In this study, we analyze fractal and multifractal properties of a novel network: the large scale economic network of payments of Estonia, where companies are represented by nodes and the payments done between companies are represented by links. We present a fractal scaling analysis and examine the multifractal behavior of this network by using a sandbox algorithm. Our results indicate the existence of multifractality in this network and consequently, the existence of multifractality in the Estonian economy. To the best of our knowledge, this is the first study that analyzes multifractality of a complex network of payments.

Keywords: Statistical; and; Nonlinear; Physics (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1140/epjb/e2017-80214-5

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