计算机科学 ›› 2018, Vol. 45 ›› Issue (6): 41-45.doi: 10.11896/j.issn.1002-137X.2018.06.007
• 第十四届全国Web信息系统及其应用学术会议 • 上一篇 下一篇
张昱, 高克宁, 于戈
ZHANG Yu, GAO Ke-ning, YU Ge
摘要: 随着大规模社会网络的发展,链接预测成为了一个重要的研究课题。研究了在社会网络中融合节点属性信息进行链接预测,在传统的社会-属性网络图模型的基础上,将节点属性的类别这一重要参量加入到网络构建中。基于此,提出了一系列为网络中不同类型的连边分配边权重的方法,最后通过随机游走的方法进行网络链接的预测。实验表明,所提链接预测方法相比同类方法有明显的效果提升。
中图分类号:
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