Computational Analysis of the structural properties of Economic and Financial Networks
Computational Finance
2017-10-13 v1
Abstract
In recent years, methods from network science are gaining rapidly interest in economics and finance. A reason for this is that in a globalized world the interconnectedness among economic and financial entities are crucial to understand and networks provide a natural framework for representing and studying such systems. In this paper, we are surveying the use of networks and network-based methods for studying economy related questions. We start with a brief overview of graph theory and basic definitions. Then we discuss descriptive network measures and network complexity measures for quantifying structural properties of economic networks. Finally, we discuss different network and tree structures as relevant for applications.
Keywords
Cite
@article{arxiv.1710.04455,
title = {Computational Analysis of the structural properties of Economic and Financial Networks},
author = {Frank Emmert-Streib and Aliyu Musa and Kestutis Baltakys and Juho Kanniainen and Shailesh Tripathi and Olli Yli-Harja and Herbert Jodlbauer and Matthias Dehmer},
journal= {arXiv preprint arXiv:1710.04455},
year = {2017}
}