A reason for this interest builds on the realization that the behavior of the economy cannot be investigated by individually studying the constituting components of it but only by considering the interplay between all relevant parts. In recent years, there has been more and more interest in studying economy related questions by means of network science. Furthermore, we review practical methods for graphically exploring such networks and discuss useful databases for obtaining the empirical data for the computational construction of economic networks. These can correspond to banks, firms, investors, products, stocks etc. Due to the fact that there is a large variety of different economic networks, e.g., interbank, investment, director, ownership, financial, product or trade networks, we present a systematic categorization of these by the meaning of the “nodes” within these networks. The purpose of this paper is to survey studies for estimating and analyzing different types of economic networks We focus on data-based approaches that allow the direct estimation of the networks from empirical data without the need of relying on theoretical assumptions. 6College of Computer and Control Engineering, Nankai University, Tianjin, China.5Department of Mechatronics and Biomedical Computer Science, UMIT, Hall in Tirol, Austria.4Institute for Systems Biology, Seattle, WA, United States.3Institute for Intelligent Production, Faculty for Management, University of Applied Sciences Upper Austria, Steyr, Austria.2Institute of Biosciences and Medical Technology, Tampere, Finland.1Predictive Medicine and Data Analytics Lab, Department of Signal Processing, Tampere University of Technology, Tampere, Finland.Frank Emmert-Streib 1,2 *, Shailesh Tripathi 3, Olli Yli-Harja 2,4 and Matthias Dehmer 3,5,6
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