Detecting Unilateral Preference Behavior and Anti-Network Structures in Directed Temporal Social Networks

This study proposes a bottom-up method to detect subgraphs composed of unilateral preferences in directed temporal social networks, with the goal of automatically identifying communication patterns that may indicate dangerous activities such as online luring.