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

  • Frank Emmert-Streib*
  • , Shailesh Tripathi
  • , Olli Yli-Harja
  • , Matthias Dehmer
  • *Corresponding author for this work
  • Tampere University
  • Institute of Biosciences and Medical Technology
  • Upper Austria University of Applied Sciences
  • Institute for Systems Biology
  • Private University for Health Sciences, Medical Informatics and Technology
  • Nankai University

Research output: Contribution to journalReview articlepeer-review

Abstract

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.

Original languageEnglish
Article number37
JournalFrontiers in Applied Mathematics and Statistics
Volume4
DOIs
Publication statusPublished - 28 Aug 2018
Externally publishedYes

Keywords

  • computational finance
  • computational social science
  • data science
  • econometrics
  • economic networks
  • economics
  • network science
  • social networks

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