A System for Big Attributed Hierarchical Graph Visualization

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

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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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