Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

Degree Correlation Analysis Method of Mixed Networks

Authors
Xian min Geng, Ping Qiu, Sheng li Zhou, Zhi yuan Yao, Zhi jun Sun
Corresponding Author
Xian min Geng
Available Online August 2013.
DOI
https://doi.org/10.2991/icacsei.2013.133How to use a DOI?
Keywords
Intrinsic link, Scale-free property, Degree correlation, Disassortative mixing.
Abstract
In order to characterize the law of the degree correlations in the evolution of complex networks and explore the mechanism responsible for degree correlations, we investigate the degree correlations in mixed networks. We study the two-node degree correlations in networks with preferential attachment and intrinsic attachment. Using the dynamic system’s rate equation approach under the assumption of continuous degree, we give the analytical result for two-node degree correlations, expressed by average nearest-neighbor degree (ANND). Analytical result shows that ANND decreases with respect to degree, which means that networks we studied are disassortative mixing. We also get the degree correlations of Barab¢si-Albert model, which is in the line with the existed result. Finally, the analytical result is in agreement with the numerical simulation.
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Proceedings
2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-74-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/icacsei.2013.133How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xian min Geng
AU  - Ping Qiu
AU  - Sheng li Zhou
AU  - Zhi yuan Yao
AU  - Zhi jun Sun
PY  - 2013/08
DA  - 2013/08
TI  - Degree Correlation Analysis Method of Mixed Networks
BT  - 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 552
EP  - 557
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.133
DO  - https://doi.org/10.2991/icacsei.2013.133
ID  - Geng2013/08
ER  -