document: Comparing apples and oranges : normalized pagerank for evolving graphs PageRank is the best known technique for link-based importance ranking . The computed importance scores , however , are not directly comparable across different snapshots of an evolving graph . We present an efficiently computable normalization for PageRank scores that makes them comparable across graphs . Furthermore , we show that the normalized PageRank scores are robust to non-local changes in the graph , unlike the standard PageRank measure .
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