摘要
We propose a unified approach for imputation of the links and attributes in longitudinal social surveys which accounts for changing network topology and interdependence between the actor's links and attributes. The previous studies on the treatment of non-respondents in longitudinal social networks were mostly concerned with imputation of the missing links only or imputation effects on the networks statistics. For this study we conduct a set of experiments on synthetic and real life datasets with 20%-60% of nodes missing under four mechanisms. The obtained results were better than when using alternative methods which suggest that our method can be used as a viable imputation tool.
摘要译文
我们提出了一个统一的标准来链接归集和纵向的社会调查占改变演员的联系和属性之间的网络拓扑结构和相互依存的属性。对非受访者在纵向社交网络的处理以往的研究大多关注的唯一缺少的环节，或在网络统计数据归集效果归集。在这项研究中，我们进行了一组上合成的和现实生活中的数据集的实验，用20％的节点下四种机制缺失-60％。所得到的结果是利用这表明，我们的方法可以用来作为一种可行的插补工具的替代方法的情况相比更好。
Ouzienko, V.;Obradovic, Z.. Imputation of Missing Links and Attributes in Longitudinal Social Surveys[C]//Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, 11-11 Dec. 2011, IEEE, 2011: 957-964