Abstract: Now social network analysis gained many interest because of the large popularity of social media, social networking applications, blogs, or customer review sites. It mainly checks trust (and distrust) between people who belongs to communities in social networks. In social networks, trust is an essential quality between the user interactions and the recommendation for trustful content and users. This particular system is based on a reputation mechanism that rates the participants using previous experiences, observations, and other members opinion. In this paper, a collaborative reputation mechanism is used that collects and checks the users connections and capitalizes on trust propagation. Here it point out that this system can be applied to any type of social network.
Keywords: Personalization, Reputation, Recommendation, Social networks, Trust