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Regular version of the site

Book chapter

Supervised Learning for Link Prediction Using Similarity Indices

P. 1-8.
Korolev S., Zhukov L. E.

The problem of link prediction gathered a lot of attention in the last few years, arising in di erent applications ranging from recommendation systems to social networks. In this paper, we will describe the most popular similarity indices, compare their performance in their ability to show links with the highest probability of being removed from initial network and describe the approach that allows to use them to predict missing links using supervised machine learning. We will show the accuracy of prediction of this method on examples of real networks.