text: This paper discusses an application of survival analysis  in social networks. While the application area seems to be pertinent, the statistics as presented in this paper are suboptimal at best. There is no useful statistical setup described (what is random? etc etc), the interplay between censoring and end-of-life is left rather fuzzy, and mentioned clustering approaches are extensively studied in the statistical literature in so-called frailty analysis. The setting is also covered in statistics in the extensive literature on repeated measurements  and even time-series analysis. It's up to the authors discuss similarities and differences of results of the present approach and those areas. The numerical result is not assessing the different design decisions of the approach (why use a Kuyper loss?) in this empirical paper.