DocumentCode :
2650830
Title :
Extended HK evolving network model
Author :
Li, Yan ; Qian, Xiaolong ; Wang, Dan
Author_Institution :
Benxi Steel Group Corp., Benxi, China
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
4095
Lastpage :
4097
Abstract :
Based on Holme and Kim (HK) model, We propose an extended HK evolving network model including a triad formation step. Triad formation mechanism is extend among old nodes compared to the HK model, which settle the shortages of HK: there is no link evolution in old nodes and the numbers of links of a new node coming to network is fixed. Theoretical analyses and numerical simulations show that our model captures power-law distributions of node degree, as confirmed in several real-world systems. Moreover, in our model, the clustering coefficient is tunable simply by changing the expected number of triad formation step.
Keywords :
complex networks; network theory (graphs); numerical analysis; pattern clustering; Holme and Kim model; clustering coefficient; extended HK evolving network model; numerical simulations; power-law distributions; real-world systems; triad formation mechanism; triad formation step; Analytical models; Barium; Complex networks; Numerical models; Numerical simulation; Production; Steel; Clustering coefficient; Scale-free 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.2012.6243111
Filename :
6243111
Link To Document :
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