DocumentCode
3432472
Title
Discovering community membership in biological networks with node topology potential
Author
Xiao, Liping ; Wang, Shuliang ; Li, Jingjing
Author_Institution
Institute of Chinese Electrical, System Engineering, Beijing 100840, China
fYear
2012
fDate
11-13 Aug. 2012
Firstpage
541
Lastpage
546
Abstract
In this paper, a novel approach is proposed to discover community membership in complex networks with node topology potential, along with the experiment on complex biological networks. The concept of physical field is brought into networks. Nodes will have a certain topology potential since they can affect and be affected by the others nearby. And this topology potential is an index to measure the interaction among nodes. Based on the distributing feature of node topology potential, the community memberships are uncovered. A biological network is finally experimented to show the effectiveness of the proposed algorithm.
Keywords
Artificial neural networks; Communications technology; Communities; Robustness; Shape; community membership; complex biological networks; data field; node topology potential;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2012 IEEE International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4673-2310-9
Type
conf
DOI
10.1109/GrC.2012.6468676
Filename
6468676
Link To Document