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/).
Cite this article
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 -