Efficient partial-pairs simrank search on large networks
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2403
- Type
- D - Journal article
- DOI
-
10.14778/2735479.2735489
- Title of journal
- Proceedings of the VLDB Endowment International Conference on Very Large Data Bases
- Article number
- -
- First page
- 569
- Volume
- 8
- Issue
- 5
- ISSN
- 2150-8097
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
10.14778/2735479.2735489
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 29
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This foundational paper, published in VLDB 2015, (acceptance rate: 21%/710), was one of 15 papers invited to the PVLDB Endowment's Journal. The methodology has the advantage of being general to all network structure analysis. In a follow-on paper, we demonstrate that in water distribution networks specifically, the methodology can pinpoint leak localisation to within 50 cm (on Welsh Water's pipe testbed), published in 2nd Int. Electronic Conference on Sensors and Applications 2015 with Best Paper award (https://sciforum.net/paper/view/conference/3240).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
