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Social networks data analysis and visualization
 Dubovik, Valentin ; Lohr, Václav (advisor) ; Hanzlík, Petr (referee)
This thesis is focused on the theoretical knowledges in the sphere of data visualization, pripary provides knowledges about aspects of social graph visualization. Theoretical part contains definitions of the datamining approches to the data. Second chapter of it describes essential moments that are important for better understanding of the SNA. Third chapter is focused on definition of essential methods of social networks visualization. Practical part is primary focused on the comparison of two of the biggest social networks nowadays - VK and Facebook using the available API documentation. Using the open data collection methods, data will be collected from profiles in social networks and then those data will be visualized.
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