Strength-Strength and Strength-Degree Correlation Measures for Directed Weighted Complex Network Analysis

被引：8

作者：

Guo, Shi-Ze ^{[2
]}

Lu, Zhe-Ming ^{[1
]}

Chen, Zhe ^{[2
]}

Luo, Hao ^{[1
]}

机构：

[1] Zhejiang Univ, Sch Aeronaut & Astronaut, Hangzhou 310027, Peoples R China

[2] N Elect Syst Engn Corp, Beijing 100083, Peoples R China

来源：

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2011年 / E94D卷 / 11期

基金：

中国国家自然科学基金;

关键词：

complex network; directed network; weighted network; directed weighted network; strength-strength correlation; strength-degree correlation; DYNAMICS;

D O I：

10.1587/transinf.E94.D.2284

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：2284 / 2287

页数：4

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