PageRank asymptotics on directed preferential attachment networks
PageRank asymptotics on directed preferential attachment networks
We characterize the tail behavior of the distribution of the PageRank of a uniformly chosen vertex in a directed preferential attachment graph and show that it decays as a power law with an explicit exponent that is described in terms of the model parameters. Interestingly, this power law is heavier …