Degree Correlation Analysis Method of Mixed Networks

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/icacsei.2013.133
ID  - Geng2013/08
ER  -