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We study the basic preferential attachment process, which generates a sequence of random trees, each obtained from the previous one by introducing a new vertex and joining it to one existing vertex,ch...
We obtain the degree distribution for a class of growing network models on flat and curved spaces.These models evolve by preferential attachment weighted by a function of the distance between nodes.
In a 2-parameter scale free model of random graphs it is shown that the asymptotic degree distribution is the same in the neighbourhood of every vertex. This degree distribution is still a power law w...
In a 2-parameter scale free model of random graphs it is shown that the asymptotic degree distribution is the same in the neighbourhood of every vertex. This degree distribution is still a power law w...
2006Vol.46No.1pp.183-186DOI: Unified Model for Generation Complex Networks with Utility Preferential Attachment WU Jian-Jun,1,2 GAO Zi-You,1,2 and SUN Hui-Jun1,2 1 State...

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