A system for visualization of big attributed hierarchical graphs

Victor N. Kasyanov; Timur A. Zolotuhin

doi:10.5121/ijcnc.2018.10206

A system for visualization of big attributed hierarchical graphs

Victor N. Kasyanov, Timur A. Zolotuhin

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

Information visualization is a process of transformation of large and complex abstract forms of information into the visual forms, 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 the paper, we consider a system aimed at supporting of visualization of big amounts of complex information on the base of attributed hierarchical graphs.

Original language	English
Pages (from-to)	55-67
Number of pages	13
Journal	International Journal of Computer Networks and Communications
Volume	10
Issue number	2
DOIs	https://doi.org/10.5121/ijcnc.2018.10206
Publication status	Published - 1 Mar 2018

Keywords

Attributed hierarchical graphs
Big graphs
Information visualization
Visualization systems

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10.5121/ijcnc.2018.10206

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A system for visualization of big attributed hierarchical graphs

Abstract

Keywords

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