Detecting Malicious Activities Using Backward Propagation of Trustworthiness over Heterogeneous Social Graph

We present an extended trust model for detecting malicious activities in online social networks. The major idea is to perform a trust propagation process over a heterogeneous social graph in which different social activities are well modeled. We develop two trustworthiness measures and evaluate their performance of detecting malicious activities using a real Twitter data set.