Efficient Service Discovery in Decentralized Online Social Networks
- Submitting institution
-
University of Derby
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 784989-3
- Type
- D - Journal article
- DOI
-
10.1016/j.future.2017.04.022
- Title of journal
- Future Generation Computer Systems
- Article number
- -
- First page
- 775
- Volume
- 86
- Issue
- -
- ISSN
- 0167-739X
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2017
- URL
-
https://www.sciencedirect.com/science/article/pii/S0167739X17306465
- 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)
-
-
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work has influenced online social networks (OSN) to re-define the architecture for mitigating issues including the single point of failure and preservation of users’ privacy. It has been widely adopted: identify dynamic community (Yonghong Guo et al), preserve user privacy (Pattar et al) and evaluate decentralised mechanisms (Yung-Ting Chuang and Feng-Wei Li) for OSN.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
