The computational complexity of link building

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Abstract

We study the problem of adding k new links to a directed graph G(V, E) in order to maximize the minimum PageRank value for a given subset of the nodes. We show that this problem is NP-hard if k is part of the input. We present a simple and efficient randomized algorithm for the simple case where the objective is to compute one new link pointing to a given node t producing the maximum increase in the PageRank value for t. The algorithm computes an approximation of the PageRank value for t in G(V, E ∪ {(v, t)}) for all nodes v with a running time corresponding to a small and constant number of PageRank computations. © 2008 Springer-Verlag Berlin Heidelberg.

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Olsen, M. (2008). The computational complexity of link building. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5092 LNCS, pp. 119–129). https://doi.org/10.1007/978-3-540-69733-6_13

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