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A system for visualization of big attributed hierarchical graphs. / Kasyanov, Victor N.; Zolotuhin, Timur A.

In: International Journal of Computer Networks and Communications, Vol. 10, No. 2, 01.03.2018, p. 55-67.

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

Harvard

Kasyanov, VN & Zolotuhin, TA 2018, 'A system for visualization of big attributed hierarchical graphs', International Journal of Computer Networks and Communications, vol. 10, no. 2, pp. 55-67. https://doi.org/10.5121/ijcnc.2018.10206

APA

Kasyanov, V. N., & Zolotuhin, T. A. (2018). A system for visualization of big attributed hierarchical graphs. International Journal of Computer Networks and Communications, 10(2), 55-67. https://doi.org/10.5121/ijcnc.2018.10206

Vancouver

Kasyanov VN, Zolotuhin TA. A system for visualization of big attributed hierarchical graphs. International Journal of Computer Networks and Communications. 2018 Mar 1;10(2):55-67. doi: 10.5121/ijcnc.2018.10206

Author

Kasyanov, Victor N. ; Zolotuhin, Timur A. / A system for visualization of big attributed hierarchical graphs. In: International Journal of Computer Networks and Communications. 2018 ; Vol. 10, No. 2. pp. 55-67.

BibTeX

@article{de316fe4725741c8bf0490be84b0ea2f,
title = "A system for visualization of big attributed hierarchical graphs",
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.",
keywords = "Attributed hierarchical graphs, Big graphs, Information visualization, Visualization systems",
author = "Kasyanov, {Victor N.} and Zolotuhin, {Timur A.}",
note = "Publisher Copyright: {\textcopyright} AIRCC.",
year = "2018",
month = mar,
day = "1",
doi = "10.5121/ijcnc.2018.10206",
language = "English",
volume = "10",
pages = "55--67",
journal = "International Journal of Computer Networks and Communications",
issn = "0975-2293",
publisher = "Academy and Industry Research Collaboration Center (AIRCC)",
number = "2",

}

RIS

TY - JOUR

T1 - A system for visualization of big attributed hierarchical graphs

AU - Kasyanov, Victor N.

AU - Zolotuhin, Timur A.

N1 - Publisher Copyright: © AIRCC.

PY - 2018/3/1

Y1 - 2018/3/1

N2 - 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.

AB - 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.

KW - Attributed hierarchical graphs

KW - Big graphs

KW - Information visualization

KW - Visualization systems

UR - http://www.scopus.com/inward/record.url?scp=85047437959&partnerID=8YFLogxK

U2 - 10.5121/ijcnc.2018.10206

DO - 10.5121/ijcnc.2018.10206

M3 - Article

AN - SCOPUS:85047437959

VL - 10

SP - 55

EP - 67

JO - International Journal of Computer Networks and Communications

JF - International Journal of Computer Networks and Communications

SN - 0975-2293

IS - 2

ER -

ID: 13595425