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Pairwise normalization in Simrank variants: Problem, solution, and evaluation

Authors
Hamedani, Masoud ReyhaniKim, Sang-Wook
Issue Date
Apr-2019
Publisher
Association for Computing Machinery
Keywords
Link-based similarity; Pairwise Normalization Problem JacSim; SimRank
Citation
Proceedings of the ACM Symposium on Applied Computing, v.Part F147772, pp.534 - 541
Indexed
SCOPUS
Journal Title
Proceedings of the ACM Symposium on Applied Computing
Volume
Part F147772
Start Page
534
End Page
541
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/148002
DOI
10.1145/3297280.3297331
Abstract
Despite of the success in the real-world applications, SimRank and its variants, rvs-SimRank and PRank, suffer from the pairwise normalization problem (PNP) as a counter intuitive property hidden in their computation paradigm. JacSim, a state-of-the-art measure, provides an effective solution to PNP; however, it considers PNP and the effectiveness of the provided solution only in SimRank. In this paper, we consider PNP in SimRank variants, generalize the solution to those measures, conduct extensive experiments with two real-world datasets to accurately perform parameter tuning, and verify the effectiveness of applying the solution to SimRank variants with both un-weighted and weighted graphs.
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