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Citation Graph Visualization Program

ФИО студента: Nikita Gryaznov

Руководитель: Denis Y. Turdakov

Кампус/факультет: Faculty of Computer Science

Программа: Software Engineering (Bachelor)

Оценка: 9

Год защиты: 2016

This paper is dedicated to visualization of softly clustered citation graphs. In this paper, we examine approaches to the visualization of graphs, In particular, different 2D force-directed layout algorithms and their optimization techniques are reviewed. In addition, different methods of visualization of graph cluster structure are described. The aim of the work was to develop citation graph visualization program. During the developing of the program a layout algorithm for softly clustered graphs was formulated. And also the Bubbles Sets algorithm (2009) was used. This algorithm allows us to visualize cluster over placed graph nodes. The program is developed as web-application. This approach allows different users to use simultaneously and makes it cross-platform and accessible. This paper contains 40 pages, 3 chapters, 7 illustrations, 1 table, 34 bibliography items,4 appendices. Keywords: graph visualization, soft clustering, force algorithms, Bubble Sets.

Full text (added May 27, 2016)

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