Pairwise similarity calculation of information networks

  • Authors:
  • Yuanzhe Cai;Sharma Chakravarthy

  • Affiliations:
  • CSE Department and Information Technology Laboratory, The University of Texas at Arlington, Arlington, TX;CSE Department and Information Technology Laboratory, The University of Texas at Arlington, Arlington, TX

  • Venue:
  • DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
  • Year:
  • 2011

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Abstract

We focus on extensions to the pairwise similarity calculation of information networks. By considering both in- and out-link relationships, we propose Additive- and Multiplicative-SimRank to calculate the similarity score. Then we discuss the loop/cycles problem of information networks and propose a method to address this problem. Our extensive experimental results conducted on eight food web data sets show that our approach performs significantly better than earlier approaches.