Visual Analysis of Geometry Constrained Large-Scale Network
Summary :
Due to the structure complexity, it is difficult to display structure of large-scale network fully. To solve the problem, this paper research on network simplification and accelerating drawing. Specific research content includes accelerated network layout based on quadtree and community geometric constrain, aiming to provide overall situation perception of network topology. Experiment results show that this method can quickly visualize complex structure of large-scale network, and present overall situation and structural characteristics of the network by clear and understandable visual expression, and contribute to mining and awareness of network connection mode and structural characteristics.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E101-B No.4 pp.1000-1009
- Publication Date
- 2018/04/01
- Publicized
- 2017/10/17
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2017EBP3303
- Type of Manuscript
- PAPER
- Category
- Fundamental Theories for Communications
Authors
Zhonghua YAO
Space Engineering University
Lingda WU
Space Engineering University
Yang SUN
Space Engineering University
Keyword
Latest Issue
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Zhonghua YAO, Lingda WU, Yang SUN, "Visual Analysis of Geometry Constrained Large-Scale Network" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 4, pp. 1000-1009, April 2018, doi: 10.1587/transcom.2017EBP3303.
Abstract: Due to the structure complexity, it is difficult to display structure of large-scale network fully. To solve the problem, this paper research on network simplification and accelerating drawing. Specific research content includes accelerated network layout based on quadtree and community geometric constrain, aiming to provide overall situation perception of network topology. Experiment results show that this method can quickly visualize complex structure of large-scale network, and present overall situation and structural characteristics of the network by clear and understandable visual expression, and contribute to mining and awareness of network connection mode and structural characteristics.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3303/_p
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@ARTICLE{e101-b_4_1000,
author={Zhonghua YAO, Lingda WU, Yang SUN, },
journal={IEICE TRANSACTIONS on Communications},
title={Visual Analysis of Geometry Constrained Large-Scale Network},
year={2018},
volume={E101-B},
number={4},
pages={1000-1009},
abstract={Due to the structure complexity, it is difficult to display structure of large-scale network fully. To solve the problem, this paper research on network simplification and accelerating drawing. Specific research content includes accelerated network layout based on quadtree and community geometric constrain, aiming to provide overall situation perception of network topology. Experiment results show that this method can quickly visualize complex structure of large-scale network, and present overall situation and structural characteristics of the network by clear and understandable visual expression, and contribute to mining and awareness of network connection mode and structural characteristics.},
keywords={},
doi={10.1587/transcom.2017EBP3303},
ISSN={1745-1345},
month={April},}
Copy
TY - JOUR
TI - Visual Analysis of Geometry Constrained Large-Scale Network
T2 - IEICE TRANSACTIONS on Communications
SP - 1000
EP - 1009
AU - Zhonghua YAO
AU - Lingda WU
AU - Yang SUN
PY - 2018
DO - 10.1587/transcom.2017EBP3303
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2018
AB - Due to the structure complexity, it is difficult to display structure of large-scale network fully. To solve the problem, this paper research on network simplification and accelerating drawing. Specific research content includes accelerated network layout based on quadtree and community geometric constrain, aiming to provide overall situation perception of network topology. Experiment results show that this method can quickly visualize complex structure of large-scale network, and present overall situation and structural characteristics of the network by clear and understandable visual expression, and contribute to mining and awareness of network connection mode and structural characteristics.
ER -
English
