DocumentCode :
1847129
Title :
Priority Weighted BA Scale-Free Random Graph model
Author :
Chen, Xinyi
Author_Institution :
China Minorities Inf. Technol. Inst., Northwest Univ. for Nat., Lanzhou, China
Volume :
2
fYear :
2011
fDate :
13-15 May 2011
Firstpage :
156
Lastpage :
158
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 priority weighted 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 by priority selected different edges to connected to the different vertices in the system, and (iii) new vertices attach preferentially to sites that are already well connected. A model based on these three ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
Keywords :
business data processing; complex networks; graph theory; World Wide Web; complex topology; genetic networks; large networks; priority weighted BA scale-free random graph model; priority weighted scale-free power-law distribution; self-organizing phenomena; stationary scale-free distributions; Barium; Biological system modeling; Complex networks; Internet; Numerical models; Topology; BA model; degree distribution; random networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-61284-108-3
Type :
conf
DOI :
10.1109/ICBMEI.2011.5917870
Filename :
5917870
Link To Document :
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