Abstract: Information visualization is a process of transformation of large and complex abstract forms of information into visual form, strengthening cognitive abilities of users and allowing them to take the most optimal decisions. A graph is an abstract structure that is widely used to model complex information for its visualization. In this paper, we consider a system aimed at supporting of visualization of big amounts of complex information on the base of attributed hierarchical graphs.
DOI: *As the DOI is a unique identifier, it is already available in the pdf version. **The DOI link will be activated in the first midst of January 2026.
Victor Kasyanov, Timur Zolotuhin, "A System for Big Attributed Hierarchical Graph Visualization," WSEAS Transactions on Computers, vol. 17, pp. 151-155, 2018, DOI:
Victor Kasyanov, Timur Zolotuhin. A System for Big Attributed Hierarchical Graph Visualization.
WSEAS Transactions on Computers. 2018;17:151-155.