计算机应用研究2018，Vol.35Issue(2)：417-420,4.DOI:10.3969/j.issn.1001-3695.2018.02.021
基于多维属性的社会网络链接预测算法MDA-TF
Novel link prediction algorithm based on multi-dimensional attributes in social networks
摘要
Abstract
To address the problem of ignoring multi-dimensional attributes in social networks link prediction methods,this paper propsed a novel link prediction algorithm based on multi-dimensional attributes in social networks(denoted as MDA-TF).Firstly,after data preprocessing,combined with multi-dimensional attributes,it constructed a tensor model.Secondly it conducted tensor factorization by high-order orthogonal iteration to get the core matrix and the factor matrix.Finally,it obtained the link prediction results according to the core matrix.The experimental results on the real social networks show that the proposed algorithm achieves good prediction performance.关键词
社会网络/链接预测/多维属性/张量分解Key words
social networks/link prediction/multi-dimensional attributes/tensor factorization分类
信息技术与安全科学引用本文复制引用
仇丽青,丁长青,陈卓艳..基于多维属性的社会网络链接预测算法MDA-TF[J].计算机应用研究,2018,35(2):417-420,4.基金项目
国家自然科学基金资助项目(61502281) （61502281）
