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- Title
采用主动学习的动态网络链接预测方法.
- Authors
安琛; 陈可佳; 彭高婧
- Abstract
In view of the characteristics of network dynamics and sparsity, introducing the active learning paradigm in the process of network evolution and link prediction, this paper proposed a new dynamic network link prediction method. The method firstly generated a classifier for the variation sequence of each structural feature. Then it used these classifiers to score eaeh unconnected node pair and gave the node with the large difference of prediction result to the user. Once the real labels were obtained (i.e., whether the links existed), these classifiers would be retrained using the updated training set and be integrated to the final model. Experimental results in three real co-author network datasets show that the performance of link prediction method for dynamic networks can significantly improve the AUC measure by using active learning.
- Publication
Application Research of Computers / Jisuanji Yingyong Yanjiu, 2018, Vol 35, Issue 3, p817
- ISSN
1001-3695
- Publication type
Article
- DOI
10.3969/j.issn.1001-3695.2018.03.036