Metódy pre konštrukciu komplexných sietí z multidimenzionálnych dát.

Abstract

This thesis is focused on the construction of complex networks from multidimensional data. In this thesis are described the basic concepts and properties from the graph theory, as well as the sequence of steps that allows constructing complex networks from multidimensional data. This sequence is implemented in the application. The selected data sets are then processed by this application and subsequently analyzed. This thesis also describes graph sampling, which allows creating reduced networks.