It's the way you check-in: Identifying users in location-based social networks
- Submitting institution
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Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 540
- Type
- E - Conference contribution
- DOI
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10.1145/2660460.2660485
- Title of conference / published proceedings
- COSN 2014 - Proceedings of the 2014 ACM Conference on Online Social Networks
- First page
- 215
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- October
- Year of publication
- 2014
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
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- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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1
- Research group(s)
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-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper was the first to analyse the problem of users identification through location-based social network data, raising privacy issues that remain very relevant in the context of the covid-19 contact tracing debate. It was presented at the 2014 ACM Conference on Online Social Network, which saw 138 submissions and 22 accepted papers (acceptance rate 15.9% http://cosn.acm.org/2014/). This work was supported by the EPSRC Research Grant EP/J005266/1. An invited talk on this paper was given at the "Identities Meeting" held in Swindon in 2015 (S.V.Stevenage@soton.ac.uk), with, among others, stakeholders from the GCHQ and EPSRC.
- Author contribution statement
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- Non-English
- No
- English abstract
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