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Structural properties of random networks with dynamics
Gajdová, Anna ; Hartman, David (advisor) ; Šámal, Robert (referee)
Real systems are often represented by so-called complex networks. These networks have a specific connectivity structure given by the specifics of the studied systems. Since often insufficient or inaccurate data are available, a common approach is to model these systems at the level of this connectivity using random networks replicating specific prop- erties such as ease of connectivity, modularity or specific sparsity. The representation of these properties in basic complex network models is a widely explored area. However, if the presence of edges is controlled by a specific distributions or if an element of the dynamics of the overall graph is added to the model, the analysis of such models be- comes more complex. This thesis aims to investigate the properties of such dynamically dependent random models. 1

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