Graph-based Data Mining on Social Networks
نویسندگان
چکیده
In this research, we compare and contrast the salient features of illicit group information with legitimate group data. We describe how the graph-based knowledge discovery system, SUBDUE, when run in unsupervised discovery mode, finds structural patterns embedded within social network data. We also illustrate how SUBDUE, in supervised mode, learns distinguishing patterns between legitimate and covert groups, based only on the communication activities of the group members.
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