EconPapers    
Economics at your fingertips  
 

Korelasi Bebas-skala dalam Studi Geo-politik Pemilihan

Scale-free correlation within Geopolitics of Election Studies

Ardian Maulana () and Hokky Situngkir

MPRA Paper from University Library of Munich, Germany

Abstract: Collective behavior is a phenomena emerged from interacting elements of a complex system. This paper is a preliminary study for the spatial analysis to investigate the spatial characteristics from the correlations within election data. We demonstrate the emerged scale-free spatial correlation by the power law exhibited with the correlation length scaled over the size of the system. The analysis confirmed the collective behavior in voting and election processes in which local elements related to the global view of the system. Furthermore, the implementation of the community derectiom algorithm as the result of the election modeled as weighted correlation network demonstrated some correlated geographical clusters and the patterns they represented. Interestingly, the analysis has opened extended explanation on the geo-political characteristics within a nation, as exemplified by observing the election in Germany in 2013. Further analyses investigating the robustness of this aspects are opened.

Keywords: election; spatial correlation; scale-free; power law; correlation length; weighted correlation network; community detection. (search for similar items in EconPapers)
JEL-codes: C1 C15 C6 R0 Z1 (search for similar items in EconPapers)
Date: 2015-08-29
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/66351/1/MPRA_paper_66351.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:66351

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-19
Handle: RePEc:pra:mprapa:66351