Emergence of High clustering in Random Evolving Networks

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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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  -