Research on Complex Network Algorithm Optimization Community Detection Problem
- DOI
- 10.2991/ipemec-15.2015.9How to use a DOI?
- Keywords
- community structure; supernetwork; GN algorithm; standardization centricity
- Abstract
The community structure is one of the most universal and important attributes of complex network, and the community division research of complex network is to reasonably divide the community structure practically existed in the complex network. Apply the thought and theoretical method of supernetwork into the community division research of complex network. Aiming at the deficiencies of present GN algorithm, combining theoretical method of standardization centricity from the perspective of supernetwork, a kind of new community division algorithm of complex network is constructed, and the new algorithm is verified and analyzed through the example. The experimental result reveals that the new algorithm is improved and perfected to some extent in the division result compared with GN algorithm.
- Copyright
- © 2015, 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 - Zhiqing Zheng PY - 2015/05 DA - 2015/05 TI - Research on Complex Network Algorithm Optimization Community Detection Problem BT - Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference PB - Atlantis Press SP - 44 EP - 48 SN - 2352-5401 UR - https://doi.org/10.2991/ipemec-15.2015.9 DO - 10.2991/ipemec-15.2015.9 ID - Zheng2015/05 ER -