An Introduction to the Mega-Disks Networks Mapping

Malaysian Journal of Sciences, 34 (1) : (2015)

5 Pages Posted: 19 Jun 2015

See all articles by Mario Arturo Ruiz Estrada

Mario Arturo Ruiz Estrada

University of Malaya (UM) - Faculty of Economics & Administration (FEA)

Multiple version iconThere are 2 versions of this paper

Date Written: June 18, 2015

Abstract

This paper proposes a new multidimensional coordinate space that is called “The Mega-Disks Networks Mapping (MDN-Mapping).” The MDN-Mapping captures a large amount of information from n-dimensions in the same graphical space and time. Therefore, the MDN-Mapping creates the possibility to visualize a large number of endogenous and exogenous variables that are distributed and interconnected in different Nano-Disks, Micro-Disks, Sub-Disks, and General-Disks without any visual restriction respectively. Now, it is possible to observe how infinity endogenous variables are moving together with infinity exogenous variables simultaneously in the same graphical space. At the same time, we can visualize how all these variables interact together through the visualization a large number of asymmetric spiral-shaped figures with n-faces that keeps changing always. This asymmetric spiral-shaped figures with n-faces can experience anytime an expansion or contraction that depend on different changes from any Nano-Disk until arrive to the Mega-Disk (or the mega-Arithmetic mean).

Keywords: Econographicology, Multi-Dimensional graphs and Multi-Dimensional Geometry

JEL Classification: Z0

Suggested Citation

Ruiz Estrada, Mario Arturo, An Introduction to the Mega-Disks Networks Mapping (June 18, 2015). Malaysian Journal of Sciences, 34 (1) : (2015). Available at SSRN: https://ssrn.com/abstract=2620170

Mario Arturo Ruiz Estrada (Contact Author)

University of Malaya (UM) - Faculty of Economics & Administration (FEA) ( email )

Kuala Lumpur, 50603
Malaysia
+60126850293 (Phone)

HOME PAGE: http://ssrc.um.edu.my/

Register to save articles to
your library

Register

Paper statistics

Downloads
7
Abstract Views
177
PlumX Metrics