Analyzing the Co-Movements of the US Gross State Product Growth with the Use of the Minimum Dominating Set

11 Pages Posted: 29 Jan 2014

See all articles by Theophilos Papadimitriou

Theophilos Papadimitriou

Department of Economics, Democritus University of Thrace

Periklis Gogas

Democritus University of Thrace - Department of Economics

Georgios Sarantitis

Democritus University of Thrace - Department of Economics

Date Written: January 28, 2014

Abstract

Graph Theory and network analysis have received great attention lately in the process of analyzing complex economic systems. Here we propose the use of the Minimum Dominating Set concept in order to identify a representing set of nodes which can describe the collective behavior of an entire network. We apply this technique in US Gross State Product (GSP) growth for the period 1997-2010. The correlation matrix is used to describe the co-movements of GSP growth. Our results show that the GSP of the whole 51 states network can be represented by the values of just 8 states.

Keywords: Graph Theory, Economic Networks, Minimum Dominating Set, Gross State Product

Suggested Citation

Papadimitriou, Theophilos and Gogas, Periklis and Sarantitis, Georgios, Analyzing the Co-Movements of the US Gross State Product Growth with the Use of the Minimum Dominating Set (January 28, 2014). Available at SSRN: https://ssrn.com/abstract=2386565 or http://dx.doi.org/10.2139/ssrn.2386565

Theophilos Papadimitriou

Department of Economics, Democritus University of Thrace ( email )

University Campus
Komotini, 69100
Greece

HOME PAGE: http://econ.duth.gr/author/papadimi/

Periklis Gogas

Democritus University of Thrace - Department of Economics ( email )

Komotini, 69100
Greece

HOME PAGE: http://www.econ.duth.gr/personel/dep/gkogkas/index.en.shtml

Georgios Sarantitis (Contact Author)

Democritus University of Thrace - Department of Economics ( email )

Komotini
Greece

Register to save articles to
your library

Register

Paper statistics

Downloads
26
Abstract Views
320
PlumX Metrics