The Relation between Degree and Strength in the Complex Network Derived from an Individual Stock
A method based on coarse-graining to construct a directed weighted complex network which models the transformation of the trading data of an individual stock is introduced. The degree (strength) distribution of derived network follows a power-law. A moderated regression equation with interaction eff...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2016/8465278 |
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doaj-6990721dc6ff4414b368ca55f32c4f522020-11-24T22:28:56ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472016-01-01201610.1155/2016/84652788465278The Relation between Degree and Strength in the Complex Network Derived from an Individual StockZelin Zhang0Maokang Luo1Ke Deng2Li Lai3College of Mathematics, Sichuan University, Chengdu, ChinaCollege of Mathematics, Sichuan University, Chengdu, ChinaCollege of Mathematics, Sichuan University, Chengdu, ChinaCollege of Mathematics, Sichuan University, Chengdu, ChinaA method based on coarse-graining to construct a directed weighted complex network which models the transformation of the trading data of an individual stock is introduced. The degree (strength) distribution of derived network follows a power-law. A moderated regression equation with interaction effects of average return and out-degree (in-degree) on out-strength (in-strength) is established. Moreover, we found that the differences of nodes affect the network’s structure and average return level impacts nodes’ eigenvector centrality and pagerank, significantly.http://dx.doi.org/10.1155/2016/8465278 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zelin Zhang Maokang Luo Ke Deng Li Lai |
spellingShingle |
Zelin Zhang Maokang Luo Ke Deng Li Lai The Relation between Degree and Strength in the Complex Network Derived from an Individual Stock Mathematical Problems in Engineering |
author_facet |
Zelin Zhang Maokang Luo Ke Deng Li Lai |
author_sort |
Zelin Zhang |
title |
The Relation between Degree and Strength in the Complex Network Derived from an Individual Stock |
title_short |
The Relation between Degree and Strength in the Complex Network Derived from an Individual Stock |
title_full |
The Relation between Degree and Strength in the Complex Network Derived from an Individual Stock |
title_fullStr |
The Relation between Degree and Strength in the Complex Network Derived from an Individual Stock |
title_full_unstemmed |
The Relation between Degree and Strength in the Complex Network Derived from an Individual Stock |
title_sort |
relation between degree and strength in the complex network derived from an individual stock |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2016-01-01 |
description |
A method based on coarse-graining to construct a directed weighted complex network which models the transformation of the trading data of an individual stock is introduced. The degree (strength) distribution of derived network follows a power-law. A moderated regression equation with interaction effects of average return and out-degree (in-degree) on out-strength (in-strength) is established. Moreover, we found that the differences of nodes affect the network’s structure and average return level impacts nodes’ eigenvector centrality and pagerank, significantly. |
url |
http://dx.doi.org/10.1155/2016/8465278 |
work_keys_str_mv |
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