Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering

AS-mixed Network Models Created By Triangle-expanding Operations

Authors
Jing Su, Fei Ma, Bing Yao, Ming Yao
Corresponding Author
Jing Su
Available Online October 2016.
DOI
10.2991/jimec-16.2016.44How to use a DOI?
Keywords
Network model; Operations; Apollonian networks; Degree cumulative distribution; Velocity.
Abstract

We build up network operations for constructing large scale of dynamic networks from the known network models having high quality and good topological property. In this paper, we defined triangle-expanding operation and triangle-contracting operation, as well as construct the new random AS-mixed network models on the basis of Apollonian network models by using these two kinds of operations. We prove the scale-free of new network models and explain the closeness of operations to desired network properties.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
10.2991/jimec-16.2016.44
ISSN
2352-5401
DOI
10.2991/jimec-16.2016.44How to use a DOI?
Copyright
© 2016, 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  - AS-mixed Network Models Created By Triangle-expanding Operations
BT  - Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering
PB  - Atlantis Press
SP  - 260
EP  - 265
SN  - 2352-5401
UR  - https://doi.org/10.2991/jimec-16.2016.44
DO  - 10.2991/jimec-16.2016.44
ID  - Su2016/10
ER  -