Title :
General BBV Model of Weighted Complex Networks
Author :
Hao, Binbin ; Zhou, Yucheng ; Jing, Yuanwei ; Zhang, Siying
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
An evolving model is proposed to characterize weighted complex networks. Our model is based on the weighted network model proposed by Alain Barrat et al. (BBV for shot), emergences of new links according to triad formation and random selection mechanism, interactions more easily occur between neighbors (friends of friends) in our model. The evolution of degree and strength exhibit the power-law distributions. The average strength displays scale-free property with degree. The nontrivial clustering coefficient is investigated depending on parameters of model. A weighted scale-free network with high clustering coefficient can be obtained by adjusting two parameters of our model.
Keywords :
complex networks; network theory (graphs); pattern clustering; evolving model; general BBV model; nontrivial clustering coefficient; power-law distributions; random selection mechanism; scale-free property; triad formation; weighted complex networks; weighted scale-free network; Airports; Collaboration; Complex networks; Displays; IP networks; Information science; Network topology; Power system modeling; Telecommunication traffic; Traffic control; complex networks; scale-free network; triad formation; weighted networks;
Conference_Titel :
Communication Software and Networks, 2009. ICCSN '09. International Conference on
Conference_Location :
Macau
Print_ISBN :
978-0-7695-3522-7
DOI :
10.1109/ICCSN.2009.81
