The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
ACM Transactions on Internet Technology (TOIT)
Maximizing pagerank with new backlinks
CIAC'10 Proceedings of the 7th international conference on Algorithms and Complexity
Verifying nash equilibria in pagerank games on undirected web graphs
ISAAC'11 Proceedings of the 22nd international conference on Algorithms and Computation
On the approximability of the link building problem
Theoretical Computer Science
Reputation games for undirected graphs
Discrete Applied Mathematics
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In this work we consider the problem of maximizing the PageRank of a given target node in a graph by adding k new links. We consider the case that the new links must point to the given target node (backlinks). Previous work [7] shows that this problem has no fully polynomial time approximation schemes unless P = NP. We present a polynomial time algorithm yielding a PageRank value within a constant factor from the optimal. We also consider the naive algorithm where we choose backlinks from nodes with high PageRank values compared to the outdegree and show that the naive algorithm performs much worse on certain graphs compared to the constant factor approximation scheme.