DocumentCode
2675989
Title
Degree centrality based on the weighted network
Author
Wei, Daijun ; Li, Ya ; Zhang, Yajuan ; Deng, Yong
fYear
2012
fDate
23-25 May 2012
Firstpage
3976
Lastpage
3979
Abstract
Node centrality has been widely studied in the complex networks. In 2010, the model of node centrality under the weighted network was obtained by Tore Opashl et al. Tie weights and the number of ties were connected with certain proportion by tuning parameter in the model. However, the proportion is random measure. In this paper, the selection standard of the optimal turning parameters is proposed. In the proposed method, the maximum degree centrality of node can be emphasized. The numerical example of weighted network on optimal value selection is used to show the efficiency of the method.
Keywords
complex networks; network theory (graphs); complex networks; maximum degree centrality; node centrality; optimal tuning parameters; optimal value selection; random measure; weighted network; Complex networks; Computers; Educational institutions; Lifting equipment; Numerical models; Social network services; Tuning; Degree centrality; Tuning parameter; Weighted network;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6244633
Filename
6244633
Link To Document