scale-free property for degrees and weights in a preferential attachment random graph model

scale-free property for degrees and weights in a preferential attachment random graph model

;István Fazekas;Bettina Porvázsnyik
nature protocols 2013 Vol. 2013 pp. -
131
fazekas2013journalscale-free

Abstract

A random graph evolution mechanism is defined. The evolution studied is a combination of the preferential attachment model and the interaction of four vertices. The asymptotic behaviour of the graph is described. It is proved that the graph exhibits a power law degree distribution; in other words, it is scale-free. It turns out that any exponent in (2,∞) can be achieved. The proofs are based on martingale methods.

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225210
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10.1155/2013/707960
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