Personality and location-based social networks
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 96223840
- Type
- D - Journal article
- DOI
-
10.1016/j.chb.2014.12.038
- Title of journal
- Computers in Human Behavior
- Article number
- -
- First page
- 45
- Volume
- 46
- Issue
- -
- ISSN
- 0747-5632
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2015
- URL
-
https://dx.doi.org/10.1016/j.chb.2014.12.038
- Supplementary information
-
-
- 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
-
2
- Research group(s)
-
C - Cybersecurity, privacy and human centred computing
- Citation count
- 55
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Supported by European Commission FP7 FET project RECOGNITION (€3.15 million, https://cordis.europa.eu/project/id/257756), and an EPSRC Doctoral Award Fellowship (Grant EP/L504749/1). Notable in its cross-disciplinary contribution, using models of personality from Psychology to classify venues in location-based social networks, this is one of the first known works to present evidence for a correlation between human personality and street-level behaviour. Citations show cross-disciplinary impact in Computer Science, Psychology, Urban Planning, and Social Science.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -