Profiling Less Active Users in Online Communities.
Alexandra Barysheva, Anna Golubtsova, Rostislav Yavorskiy · 2015
Our research is focused on the study of social interactions of online community users, especially in business-oriented social networking services like LinkedIn or Habrahabr. The general aim of the work is to design methods for profiling of discussion participants within groups according to their interaction patterns. One of our goals is to make the approach independent from the language of communication, that is why we build our analysis on the comments graph and do not use information from the posts content. This paper suggest FCA based approach to profiling less active users for which not much data is available and statistical analysis is not applicable.