Identifying and extracting user communities is an important step towards understanding
social network dynamics from a macro perspective. For this reason, the work in this paper
explores various aspects related to the identification of user communities. To date, user
community detection methods employ either explicit links between users (link analysis), or
users' topics of interest in posted content (content analysis), or in tandem. Little work has
considered temporal evolution when identifying user communities in a way to group together …