Community Topic Propagation Prediction-Based Malicious User Detection Scheme in Overlapping Community Networks

In this paper, we propose a malicious user detection scheme for overlapping communities based on community topic propagation prediction. First, we construct a malicious topic classification model based on topic text feature vectors. At the same time, based on the community attributes of users obtained from overlapping community detection, we construct user attribute vectors and calculate the fit between users and topics, based on which we construct a topic propagation prediction model. Secondly, we combine the malicious topic classification model and topic propagation prediction model to construct the overlapping community malicious user detection model. Finally, experiments verify that our scheme can effectively identify malicious users.