Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Multiple giant clusters in percolation of random networks

Authors
Yang Zhang, Binghui Guo, Zhiming Zheng
Corresponding Author
Yang Zhang
Available Online March 2013.
DOI
10.2991/iccsee.2013.628How to use a DOI?
Keywords
multiple giant clusters, percolation transition, random networks
Abstract

Classical percolation processes on random networks always have only one giant cluster after the transition. Recently, percolation with multiple giant clusters has been observed and attracted much attention. In this paper, we show three simple but different models which would lead to multiple giant clusters. The evolution of these models is discussed respectively and they are supported by numerical simulations. The study of these new models may present a deep understanding of the emergence of multiple giant clusters in random networks.

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 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/iccsee.2013.628
ISSN
1951-6851
DOI
10.2991/iccsee.2013.628How 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  - Yang Zhang
AU  - Binghui Guo
AU  - Zhiming Zheng
PY  - 2013/03
DA  - 2013/03
TI  - Multiple giant clusters in percolation of random networks
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2511
EP  - 2514
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.628
DO  - 10.2991/iccsee.2013.628
ID  - Zhang2013/03
ER  -