Polaritytrust: Measuring trust and reputation in social networks

In this work we tackle the problem of determining the trustworthiness of the users in a social network. Our approach introduces the novelty of taking into account the negative opinions in a social network to obtain the ranking of trust according to the opinions of all the users in the network. We briefly discuss some common attacks that malicious users can perform against a system in order to gain good reputation in the network. The experiments are performed with synthetic graphs, randomly generated to model real social networks according to some common features, and to simulate the attacks previously mentioned. The results show that our approach can deal with these threats, demoting malicious users and minimizing their effects in the final ranking of trust.