An expert search scheme using user activities and reliabilities in social networks

In this paper, we propose an expert search scheme in social networks. The proposed scheme updates a profile by analyzing recent activities, and considers the reliability scores of users and users' ratings that are computed by the updated profile. A user's profile is created by extracting a keyword from the recent activity information and calculating similarity with the keyword. To verify the performance of the proposed scheme, a performance evaluation is conducted through simulations. The performance evaluation results show that the proposed scheme provides a more accurate search and reduces the average time consumption cost by about 43% compared to the existing schemes.