DocumentCode :
1988474
Title :
Weighted Fitness Model in Complex Networks
Author :
Chen, Xinyi
Author_Institution :
China Minorities Inf. Technol. Inst., Northwest Univ. for Nat., Lanzhou, China
fYear :
2012
fDate :
27-30 May 2012
Firstpage :
1
Lastpage :
3
Abstract :
Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of three generic mechanisms: (i) networks expand continuously by the addition of new vertices, (ii) new vertex with different number edges of weighted selected that connected to different vertices in the system, and (iii) by the fitness probability Πi that a new vertices attach preferentially to sites that are already well connected. Uncovering this fitter-gets-richer phenomenon can help us understand in quantitative terms the evolution of many competitive systems in nature and society and Internet.
Keywords :
Internet; complex networks; network theory (graphs); probability; topology; Internet; World Wide Web; competitive system evolution; complex network; complex topology; fitness probability; fitter-gets-richer phenomenon; generic mechanism; genetic network; scale-free power-law distribution; vertex connectivity; weighted fitness model; Complex networks; Evolution (biology); Genetics; Internet; Topology; Web sites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location :
Xian
Print_ISBN :
978-1-4577-1965-3
Type :
conf
DOI :
10.1109/SCET.2012.6341920
Filename :
6341920
Link To Document :
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