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IJSTR >> Volume 2- Issue 2, February 2013 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



A Model Interpolating Between Regular And Scale Free Network With Tunable Exponent

[Full Text]

 

AUTHOR(S)

Md. Kamruzzaman, Afrina Sharmin

 

KEYWORDS

Index Terms: - nodes, links, hubs, preferential attachment rule, power-law degree distribution, fat tail, cumulative distribution.

 

ABSTRACT

Abstract: - The purpose of this paper is to investigate a simple network model whereby a new node is either attached to the youngest of the existing node with probability p or it is attached with probability (1 - p) to any of the existing node following the preferential attachment rule. For 0≤p<1 the model exhibits power law degree distribution P(k)~k^(-γ) with γ=3+p⁄((1-p).) The model thus nicely interpolates between the regular graph at p = 1 with P(k)~δ(k-2) and the Barabási-Albert model at p = 0 with P(k)~k^(-3).

 

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