Scale-free property for degrees and weights in a preferential attachment random graph model (Q2260570)

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Scale-free property for degrees and weights in a preferential attachment random graph model
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    Scale-free property for degrees and weights in a preferential attachment random graph model (English)
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    11 March 2015
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    Summary: 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 \((2,\infty)\) can be achieved. The proofs are based on martingale methods.
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