For instance, in Figure 1, User b, User c and User d follow the same user named Dior and they are thought to be indirectly linked.
once User b and User c are correctly classified to be female with textual features, User d is more likely to be female since she is indirectly linked to User b and User c.  we propose a factor graph, namely Textual and Social Factor Graph (TSFG), to model both the textual and user social link information.