scale-free property for degrees and weights in a preferential attachment random graph model
;István Fazekas;Bettina Porvázsnyik
nature protocols2013Vol. 2013pp. -
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.