文章基本信息

标题：A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction
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作者：Hisashi Kashima ; Naoki Abe
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2007
卷号：22
期号：2
页码：209-217
DOI：10.1527/tjsai.22.209
出版社：The Japanese Society for Artificial Intelligence
摘要：We introduce a new approach to the problem of link prediction for network structured domains, such as the Web, social networks, and biological networks. Our approach is based on the topological features of network structures, not on the node features. We present a novel parameterized probabilistic model of network evolution and derive an efficient incremental learning algorithm for such models, which is then used to predict links among the nodes. We show some promising experimental results using biological network data sets.
关键词：link prediction ; link mining ; network evolution model ; biological network