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    Link Prediction in Heterogeneous Multi-Layer Social Networks

    , M.Sc. Thesis Sharif University of Technology Sajjadmanesh, Sina (Author) ; Rabiee, Hamid Reza (Supervisor)
    Abstract
    Online social networks have become very popular in recent years. Most people usually get involved in multiple social networks to enjoy new contents and different social interactions. Many new social networks try to attract users of other existing networks to increase the number of their users. Once a user (called source user) of a social network (called source network) joins a new social network (called target network), a new internetwork link, known as anchor link, is formed between the source and target networks. In this thesis, we concentrate on predicting the formation of such anchor links between heterogeneous social networks. Unlike conventional link prediction problems in which the...