Understanding the World Economy in Terms of Networks: A Survey of Data-Based Network Science Approaches on Economic Networks

Frontiers in Applied Mathematics and Statistics

Matthias Dehmer¹  Shailesh Tripathi³  Olli Yli-Harja⁴  Frank Emmert-Streib⁵ 

[1] College of Computer and Control Engineering, Nankai University, Tianjin, China;Department of Mechatronics and Biomedical Computer Science, UMIT, Hall in Tirol, Austria;Institute for Intelligent Production, Faculty for Management, University of Applied Sciences Upper Austria, Steyr, Austria;Institute for Systems Biology, Seattle, WA, United States;Institute of Biosciences and Medical Technology, Tampere, Finland;Predictive Medicine and Data Analytics Lab, Department of Signal Processing, Tampere University of Technology, Tampere, Finland;

关键词: economic networks;    social networks;    economics;    econometrics;    network science;    data science;   

DOI  :  10.3389/fams.2018.00037

来源: DOAJ

【 摘 要 】

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. 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. These can correspond to banks, firms, investors, products, stocks etc. 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.

【 授权许可】

Unknown