Algorithms of Graphs Visualization

Student: Pankratova Liliya

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Applied Mathematics and Information Science (Master)

Year of Graduation: 2016

Methods of imaging data designed to support abstract data representations are often very large, semi-structured or multi-dimensional, with no obvious physical interpretation in order to enhance the cognitive capabilities of the user. This kind of visualization are part of the user interface of information systems for various purposes, including information-measuring systems, control systems, multi-agent systems, and others. Universal means of representation are graphs. This work is devoted to modern visualization algorithms based on physical analogies. Me consider various objective functions, algorithms for optimization and data structures that improve computing efficiency. Particular attention was paid to the latest achievements in the field of multi-level algorithms for visualization of graphs of large volume, containing tens of thousands of nodes.

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