A Dynamic Social Network Graph Anonymity Scheme with Community Structure Protection
Dynamic publishing of social network graphs offers insights into user behavior but brings privacy risks, notably re-identification attacks on evolving data snapshots. Existing methods based on -anonymity can mitigate these at... | Find, read and cite all the research you need on Tech Science Press
Authors
- Liang Chang (ORCID: https://orcid.org/0000-0002-9450-5960)
- Mingmeng Zhang (ORCID: https://orcid.org/0000-0003-2923-6933)
- Yuanjing Hao (ORCID: https://orcid.org/0000-0001-9568-9290)
- Long Li (ORCID: https://orcid.org/0000-0002-7693-9722)
- Xuemin Wang
Institutions
- Guilin University of Electronic Technology (CN)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2024-12-23
- DOI
- https://doi.org/10.32604/cmc.2024.059201
- Citations
- 2
- Primary Topic
- Privacy-Preserving Technologies in Data
- Type
- article
- Field-Weighted Citation Impact
- 0.69
Funders
- National Natural Science Foundation of China
- Division of Graduate Education