TY - JFULL AU - Mansoureh Naderipour and Susan Bastani and Mohammad Fazel Zarandi PY - 2016/8/ TI - A Type-2 Fuzzy Model for Link Prediction in Social Network T2 - International Journal of Computer and Information Engineering SP - 1388 EP - 1394 VL - 10 SN - 1307-6892 UR - https://publications.waset.org/pdf/10005348 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 115, 2016 N2 - Predicting links that may occur in the future and missing links in social networks is an attractive problem in social network analysis. Granular computing can help us to model the relationships between human-based system and social sciences in this field. In this paper, we present a model based on granular computing approach and Type-2 fuzzy logic to predict links regarding nodes’ activity and the relationship between two nodes. Our model is tested on collaboration networks. It is found that the accuracy of prediction is significantly higher than the Type-1 fuzzy and crisp approach. ER -