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Victor Kasyanov
Timur Zolotuhin

Author(s) and WSEAS

Victor Kasyanov
Timur Zolotuhin

WSEAS Transactions on Computers

Print ISSN: 1109-2750
E-ISSN: 2224-2872

Volume 17, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

A System for Big Attributed Hierarchical Graph Visualization

AUTHORS: Victor Kasyanov, Timur Zolotuhin

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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

KEYWORDS: Attributed hierarchical graphs; big graphs; information visualization; visualization systems


[1] G. DiBattista, P. Eades, R. Tamassia, I.G. Tollis. GraphDrawing: Algorithms for Vizualization of Graphs, PrenticeHall, 1999.

[2] I. Herman, G. Melançon, M.S. Marshall. Graph visualization and navigation in information visualization: a survey, IEEE Trans. on Visualization and Computer Graphics, Vol. 6, 2000, pp. 24 - 43.

[3] V.N. Kasyanov, V.A. Evstigneev. Graphs in Programming: Processing, Visualization and Application. St. Petersburg, BHV-Petersburg, 2003. (In Russian).

[4] V.N. Kasyanov, E.V. Kasyanova. Information visualization on the base of graph models. Scientific Visualization, Vol. 6, No. 1, 2014, pp. 31–50 (in Russian)

[5] aiSee homepage, https://www.aisee.com

[6] yEd homepage, https://www.yworks.com

[7] Cytoscape homepage, https://www.cytoscape.org

[8] Higres homepage, https://pco.iis.nsk.su/higres/

[9] K. Sugiyama, K. Misue. Visualization of structured digraphs, IEEE Trans. on Systems, Man and Cybernetics, Vol. 21, No. 4, 1999, pp. 876-892.

[10] Q.W. Feng, R.F. Cohen, P. Eades. Planarity for clustered graphs, Lecture Notes in Computer Science, Vol. 979, 1995, pp. 213 - 226.

[11] V.N. Kasyanov. Hierarchical graph models and information visualization, In: Proceedings of the 2012 Third World Congress on Software Engineering (WCSE 2012), IEEE Computer Society, 2012, pp. 79-82.

[12] V.N. Kasyanov. Methods and tools for structural information visualization, WSEAS Transactions on Computers, Vol. 12, No. 7, 2013, pp. 349 - 359.

[13] U. Brandes, M. Eiglsperger, J. Lerner and C. Pich. Graph Markup Language (GraphML), In: Handbook of Graph Drawing and Visualization, CRC Press, 2013, pp. 517 - 541.

[14] SQLite homepage, https://www.sqlite.org

[15] Apache Felix homepage, https://felix.apache.org

[16] OSGi Alliance homepage, https://www.osgi.org/Main/HomePage

[17] I.A. Lisitsyn, V.N. Kasyanov. HIGRES - visualization system for clustered graphs and graph algorithms, Lecture Notes in Computer Science, Vol.1731, 1999, pp. 82 - 89.

[18] V.N. Kasyanov, E.V. Kasyanova. Methods and Tools of Parallel Programming. CEUR Workshop Proceedings, Vol. 1839, 2017, pp. 141-154.

[19] V.N. Kasyanov, E.V. Kasyanova. Graph- and cloud-based tools for computer science education, Lecture Notes in Computer Science, Vol. 9395, 2015, pp. 41 - 54.

WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 17, 2018, Art. #18, pp. 151-155

Copyright © 2018 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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