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应用预测链接的分布式社会网络隐私保护方法
引用本文:张晓琳,于芳名,何晓玉,袁昊晨. 应用预测链接的分布式社会网络隐私保护方法[J]. 计算机工程与应用, 2018, 54(22): 85-91. DOI: 10.3778/j.issn.1002-8331.1708-0394
作者姓名:张晓琳  于芳名  何晓玉  袁昊晨
作者单位:内蒙古科技大学 信息工程学院,内蒙古 包头 014010
摘    要:针对单机工作站环境下处理大规模动态社会网络图时执行效率低,以及动态社会网络发布中数据可用性较差的问题,提出基于预测链接的分布式动态社会网络隐私保护方法D-DSNBLP。该方法通过Pregel-like消息迭代更新模型,实现匿名大规模图数据的并行处理。首先通过快速迭代完成结点分组;其次根据各个组内的结点属性值并行构建候选结点集合;最后通过构建互斥边集合添加边,实现结点的隐私保护。实验表明,D-DSNBLP方法提高了大规模动态社会网络发布的效率,保证了匿名图的数据可用性。

关 键 词:分布式  动态社会网络  隐私保护  Pregel-like  预测链接  

Distributed dynamic social network privacy-preserving method based on link prediction
ZHANG Xiaolin,YU Fangming,HE Xiaoyu,YUAN Haochen. Distributed dynamic social network privacy-preserving method based on link prediction[J]. Computer Engineering and Applications, 2018, 54(22): 85-91. DOI: 10.3778/j.issn.1002-8331.1708-0394
Authors:ZHANG Xiaolin  YU Fangming  HE Xiaoyu  YUAN Haochen
Affiliation:School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
Abstract:Aiming at the low implementation efficiency and poor availability of data published in dynamic social network as well as processing large-scale dynamic social network graphs in a stand-alone workstation environment, this paper proposes a Distributed Dynamic Social Network Privacy-Preserving method Based on Link Prediction(D-DSNBLP). This method realizes the parallel processing of anonymous large-scale graph data by the iterative updating model of message in Pregel-like. Firstly, the node is grouped by fast iteration. Secondly, the candidate node set is constructed in parallel according to the node attribute value in each group. Finally, a mutex set is built to add edges, to protect the privacy of nodes. Experiments show that the D-DSNBLP method improves the efficiency of processing large-scale dynamic social network and ensures the data availability of anonymous graphs.
Keywords:distributed  dynamic social network  privacy protection  Pregel-like  link prediction  
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