STELAR NETWORKS CHARACTERIZATION

Abstract

This paper presents the results obtained from the pre-processing, structuring and subsequent analysis of astronomical data in order to generate a data network associated with observations of stars in nearby galaxies, more specifically in the Magellanic Clouds, in order to characterize said structure and check its similarities and differences with respect to a known and widely analyzed structure called "Small World Networks", a structure that is of special importance when selecting community detection algorithms, which work particularly efficiently when the underlying graph has a "Small World" structure. All the previous steps of data adaptation and standardization are presented, the filters applied to eliminate redundant or unnecessary information, the determination of attributes and relatable data, the construction of the underlying graph and its subsequent analysis. Finally, the conclusions obtained and the next steps to follow in the research are presented.