Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

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
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ceie-16.2017.84How 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  - 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  - https://doi.org/10.2991/ceie-16.2017.84
ID  - Su2016/10
ER  -