DocumentCode :
2573901
Title :
Priority weighted BA random graph model
Author :
Chen, Xinyi
Author_Institution :
China Minorities Inf. Technol. Inst., Northwest Univ. for Nat., Lanzhou, China
fYear :
2011
fDate :
27-29 June 2011
Firstpage :
561
Lastpage :
563
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 :
Internet; Web sites; complex networks; graph theory; network theory (graphs); complex topology; generic mechanism; genetic network; large network; observed stationary scale-free distribution; priority weighted BA random graph model; priority weighted scale free power law distribution; robust self organizing phenomena; stationary scale-free distribution; vertex connectivity; world wide Web; Barium; Biological system modeling; Complex networks; Complexity theory; Internet; Topology; BA model; degree distribution; weighted random networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
Type :
conf
DOI :
10.1109/CSSS.2011.5972129
Filename :
5972129
Link To Document :
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