The Scale-Free of Random SA-Mixed Network Models
Authors
Jing Su, Fei Ma, Bing Yao, Ming Yao
Corresponding Author
Jing Su
Available Online October 2016.
- DOI
- 10.2991/ceie-16.2017.84How to use a DOI?
- Keywords
- Scale-Free; Sierpinski Networks; Apollonian Networks; Degree Cumulative Distribution
- Abstract
We constructed the random SA-mixed models based on Sierpinski and 2-dimension Apollonian networks, which having scale-free properties. In this paper, we prove the scale-free of random SA-mixed network model by two of methods including statistical parameter and partial differential equation. We get the same consequence of scale-free by different ways that is degree distribution follows a power law.
- Copyright
- © 2017, 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/).
Cite this article
TY - CONF AU - Jing Su AU - Fei Ma AU - Bing Yao AU - Ming Yao PY - 2016/10 DA - 2016/10 TI - The Scale-Free of Random SA-Mixed Network Models BT - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016) PB - Atlantis Press SP - 656 EP - 662 SN - 2352-5401 UR - https://doi.org/10.2991/ceie-16.2017.84 DO - 10.2991/ceie-16.2017.84 ID - Su2016/10 ER -