Univrsity Of Tehran Press Journal of Information Technology Management 2980-7972 6 3 2014 09 23 Presenting a New Method for Link Prediction in Social Networks ارائه روشی جدید برای پیشگویی پیوند بین رأس های موجود در شبکه های اجتماعی 475 486 50936 10.22059/jitm.2014.50936 EN Azam Keypour Morteza Barari Hossein Shirazi Journal Article 2013 11 16 Today, online social networks are very popular due to the possibility of creating relationships between people all over the world. These social networks with possibilities such as friend recommendation generally use local features derived from social graph structure. For friend recommendation, there are different algorithms with local and global approaches. In this paper, we proposed an algorithm with local approach that has a suitable performance compared to other algorithms. In addition, it has an acceptable speed, because of its being local. This new feature was examined on two large social networks: Epinions and Facebook. The research showed that this algorithm can present good predictions and acceptable recommendations. https://jitm.ut.ac.ir/article_50936_5f5f7a04ad14fa7c470324ba5ec91b0c.pdf