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

Yli-Harja, Olli¹  Tripathi, Shailesh²  Dehmer, Matthias²  Emmert-Streib, Frank³ 

[1] Institute for Intelligent Production, Faculty for Management, University of Applied Sciences Upper Austria, Austria;Institute of Biosciences and Medical Technology, Finland;Predictive Medicine and Data Analytics Lab, Department of Signal Processing, Tampere University of Technology, Finland

关键词: Financial networks;    Economic Networks;    Network Science;    data science;    big data;    computational social science;    social networks;    Computational finance;    econometrics;    Economics;   

DOI  :  10.3389/fams.2018.00037

学科分类：数学（综合）

来源: Frontiers

【 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】

CC BY