Title :
Notice of Retraction
The partitioning with supernodes in network based on eigenvector approach
Author :
Li Kang ; Lei Yang
Author_Institution :
Dept. of Electron. Eng., Dongguan Univ. of Technol., Dongguan, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Supernode is proposed in this paper to represent the subnets in the network, where the connection between the nodes in the subnet is tighter than the connections with others. The scenario on the module partition for different connection measures in a given network architecture by using eigenvector approach is discussed to investigate the effectiveness of the suggested module partitioning.
Keywords :
eigenvalues and eigenfunctions; matrix algebra; network theory (graphs); eigenvector approach; module partitioning; network architecture; supernode partitioning; Circuits; Eigenvalues and eigenfunctions; Joining processes; Partial response channels; Size measurement; connection measurement; eigenvector approach; module partitioning; network connection;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5486246
