Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)

Emergence of High clustering in Random Evolving Networks

Authors
Shengli Zhou, Xianmin Geng, Zhiyuan Yao
Corresponding Author
Shengli Zhou
Available Online July 2013.
DOI
10.2991/iccnce.2013.64How to use a DOI?
Keywords
Complex systems, statistical physics, Probability theory.
Abstract

To find the formation mechanism of the complex network possess high clustering property, the paper proposes a new network model based on the neighboring nodes conglomerative connection mechanism. By analytical analysis, the paper gets a lower bund of the clustering coefficient and proves that the model satisfies the scale-free behaviour as well as the high clustering property. Furthermore, when the model loses the neighboring nodes conglomerateive connection mechanism, it also loses the high clustering property.

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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Volume Title
Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
July 2013
ISBN
10.2991/iccnce.2013.64
ISSN
1951-6851
DOI
10.2991/iccnce.2013.64How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Shengli Zhou
AU  - Xianmin Geng
AU  - Zhiyuan Yao
PY  - 2013/07
DA  - 2013/07
TI  - Emergence of High clustering in Random Evolving Networks
BT  - Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
PB  - Atlantis Press
SP  - 260
EP  - 264
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccnce.2013.64
DO  - 10.2991/iccnce.2013.64
ID  - Zhou2013/07
ER  -