DocumentCode
2087826
Title
Research on BA scale-free random graph models
Author
Chen, Xinyi ; Chang, Furong
Author_Institution
China Minorities Information Technology Institute, Northwest University for Nationalities, Lanzhou, Gansu, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
1446
Lastpage
1447
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 randomly selected that connected to 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
Barium; Biological system modeling; Complexity theory; Internet; Network topology; Organizing; Topology; BA model; degree distribution; random networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5688801
Filename
5688801
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