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Efficient partial-pairs simrank search on large networks
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Yu, Weiren and McCann, Julie A. (2015) Efficient partial-pairs simrank search on large networks. Proceedings of the VLDB Endowment, 8 (5). pp. 569-580. doi:10.14778/2735479.2735489 ISSN 2150-8097.
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WRAP-efficient-partial-pairs-simrank-networks-Yu-2017.pdf - Accepted Version - Requires a PDF viewer. Download (946Kb) | Preview |
Official URL: http://dx.doi.org/10.14778/2735479.2735489
Abstract
The assessment of node-to-node similarities based on graph topology arises in a myriad of applications, e.g., web search. SimRank is a notable measure of this type, with the intuition that "two nodes are similar if their in-neighbors are similar". While most existing work retrieving SimRank only considers all-pairs SimRank s(*, *) and single-source SimRank s(*, j) (scores between every node and query j), there are appealing applications for partial-pairs SimRank, e.g., similarity join. Given two node subsets A and B in a graph, partial-pairs SimRank assessment aims to retrieve only {s(a, b)}∀aεA,∀bεB. However, the best-known solution appears not self-contained since it hinges on the premise that the SimRank scores with node-pairs in an h-go cover set must be given beforehand.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases |
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
| Library of Congress Subject Headings (LCSH): | Electronic information resources -- Data processing, Data mining -- Data processing, Database management , Web databases | ||||||
| Journal or Publication Title: | Proceedings of the VLDB Endowment | ||||||
| Publisher: | ACM | ||||||
| ISSN: | 2150-8097 | ||||||
| Official Date: | January 2015 | ||||||
| Dates: |
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| Volume: | 8 | ||||||
| Number: | 5 | ||||||
| Page Range: | pp. 569-580 | ||||||
| DOI: | 10.14778/2735479.2735489 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Reuse Statement (publisher, data, author rights): | © Author | ACM 2015. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the VLDB Endowment, http://dx.doi.org/10.14778/2735479.2735489 | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Date of first compliant deposit: | 4 February 2020 | ||||||
| Date of first compliant Open Access: | 4 February 2020 | ||||||
| RIOXX Funder/Project Grant: |
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