Imputation of missing links and attributes in longitudinal social surveys

Vladimir Ouzienko, Zoran Obradovic
2013 Machine Learning  
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
more » ... h 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.
doi:10.1007/s10994-013-5420-1 fatcat:r37potkpjvb23eoopsltik55ry