IEICE TRANSACTIONS on Information
Strength-Strength and Strength-Degree Correlation Measures for Directed Weighted Complex Network Analysis
Summary :
This Letter defines thirteen useful correlation measures for directed weighted complex network analysis. First, in-strength and out-strength are defined for each node in the directed weighted network. Then, one node-based strength-strength correlation measure and four arc-based strength-strength correlation measures are defined. In addition, considering that each node is associated with in-degree, out-degree, in-strength and out-strength, four node-based strength-degree correlation measures and four arc-based strength-degree correlation measures are defined. Finally, we use these measures to analyze the world trade network and the food web. The results demonstrate the effectiveness of the proposed measures for directed weighted networks.
- Publication
- IEICE TRANSACTIONS on Information Vol.E94-D No.11 pp.2284-2287
- Publication Date
- 2011/11/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E94.D.2284
- Type of Manuscript
- LETTER
- Category
- Artificial Intelligence, Data Mining
Authors
Keyword
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Shi-Ze GUO, Zhe-Ming LU, Zhe CHEN, Hao LUO, "Strength-Strength and Strength-Degree Correlation Measures for Directed Weighted Complex Network Analysis" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 11, pp. 2284-2287, November 2011, doi: 10.1587/transinf.E94.D.2284.
Abstract: This Letter defines thirteen useful correlation measures for directed weighted complex network analysis. First, in-strength and out-strength are defined for each node in the directed weighted network. Then, one node-based strength-strength correlation measure and four arc-based strength-strength correlation measures are defined. In addition, considering that each node is associated with in-degree, out-degree, in-strength and out-strength, four node-based strength-degree correlation measures and four arc-based strength-degree correlation measures are defined. Finally, we use these measures to analyze the world trade network and the food web. The results demonstrate the effectiveness of the proposed measures for directed weighted networks.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.2284/_p
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@ARTICLE{e94-d_11_2284,
author={Shi-Ze GUO, Zhe-Ming LU, Zhe CHEN, Hao LUO, },
journal={IEICE TRANSACTIONS on Information},
title={Strength-Strength and Strength-Degree Correlation Measures for Directed Weighted Complex Network Analysis},
year={2011},
volume={E94-D},
number={11},
pages={2284-2287},
abstract={This Letter defines thirteen useful correlation measures for directed weighted complex network analysis. First, in-strength and out-strength are defined for each node in the directed weighted network. Then, one node-based strength-strength correlation measure and four arc-based strength-strength correlation measures are defined. In addition, considering that each node is associated with in-degree, out-degree, in-strength and out-strength, four node-based strength-degree correlation measures and four arc-based strength-degree correlation measures are defined. Finally, we use these measures to analyze the world trade network and the food web. The results demonstrate the effectiveness of the proposed measures for directed weighted networks.},
keywords={},
doi={10.1587/transinf.E94.D.2284},
ISSN={1745-1361},
month={November},}
Copy
TY - JOUR
TI - Strength-Strength and Strength-Degree Correlation Measures for Directed Weighted Complex Network Analysis
T2 - IEICE TRANSACTIONS on Information
SP - 2284
EP - 2287
AU - Shi-Ze GUO
AU - Zhe-Ming LU
AU - Zhe CHEN
AU - Hao LUO
PY - 2011
DO - 10.1587/transinf.E94.D.2284
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2011
AB - This Letter defines thirteen useful correlation measures for directed weighted complex network analysis. First, in-strength and out-strength are defined for each node in the directed weighted network. Then, one node-based strength-strength correlation measure and four arc-based strength-strength correlation measures are defined. In addition, considering that each node is associated with in-degree, out-degree, in-strength and out-strength, four node-based strength-degree correlation measures and four arc-based strength-degree correlation measures are defined. Finally, we use these measures to analyze the world trade network and the food web. The results demonstrate the effectiveness of the proposed measures for directed weighted networks.
ER -
English
