Co-Simmate: Quick Retrieving All Pairwise Co-Simrank Scores

نویسندگان

  • Weiren Yu
  • Julie A. McCann
چکیده

Co-Simrank is a useful Simrank-like measure of similarity based on graph structure. The existing method iteratively computes each pair of Co-Simrank score from a dot product of two Pagerank vectors, entailing O(log(1/ǫ)n3) time to compute all pairs of Co-Simranks in a graph with n nodes, to attain a desired accuracy ǫ. In this study, we devise a model, Co-Simmate, to speed up the retrieval of all pairs of Co-Simranks to O(log2(log(1/ǫ))n) time. Moreover, we show the optimality of Co-Simmate among other hop-(uk) variations, and integrate it with a matrix decomposition based method on singular graphs to attain higher efficiency. The viable experiments verify the superiority of Co-Simmate to others.

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تاریخ انتشار 2015