A data driven anonymization system for information rich online social network graphs
作者：
Highlights：
• Considers a new approach for the anonymization of complex social graph data.
• Preserves local social neighborhood of nodes during anonymization.
• Has an integrated synthetic generator for online social network graph data.
• Strong privacy level for complex graph data using k-anonymity and t-closeness.
• Results show a lower anonymization cost than other methods.
摘要
•Considers a new approach for the anonymization of complex social graph data.•Preserves local social neighborhood of nodes during anonymization.•Has an integrated synthetic generator for online social network graph data.•Strong privacy level for complex graph data using k-anonymity and t-closeness.•Results show a lower anonymization cost than other methods.
论文关键词：Data privacy,Anonymization,Graphs and networks,Online social networks,Synthetic data generator,Information loss
论文评审过程：Received 1 December 2014, Revised 1 February 2016, Accepted 2 February 2016, Available online 10 February 2016, Version of Record 27 February 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.02.004
