We investigate a class of network growth rules that are based on a redirection algorithm wherein new nodes are added to a network by linking to a randomly chosen target node with some probability 1− r or linking to the parent node of the target node with probability r. For fixed 0 < r < 1, the redirection algorithm is equivalent to linear preferential attachment. We show that when r is a decayi...