Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)

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Study on Dynamical Behavior in Complex Network with Community Structure

Authors
Xuefeng Liang
Corresponding Author
Xuefeng Liang
Available Online May 2017.
DOI
10.2991/icaset-17.2017.34How to use a DOI?
Keywords
Complex network, Community structure, Synchronizability
Abstract

The impact of community structure on synchronization behavior of oscillatory complex network is investigated, focusing on the community number. Numerical simulations show that the bigger community number, the stronger synchronizability of power network will be. That is, the synchronizability of the network is significantly influenced by community numbers.

Copyright
© 2017, 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 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
10.2991/icaset-17.2017.34
ISSN
2352-5401
DOI
10.2991/icaset-17.2017.34How to use a DOI?
Copyright
© 2017, 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

risenwbib
TY  - CONF
AU  - Xuefeng Liang
PY  - 2017/05
DA  - 2017/05
TI  - Study on Dynamical Behavior in Complex Network with Community Structure
BT  - Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)
PB  - Atlantis Press
SP  - 183
EP  - 186
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-17.2017.34
DO  - 10.2991/icaset-17.2017.34
ID  - Liang2017/05
ER  -