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We propose a new link-injection method aiming at boosting the overall diffusion of information in social networks. Our approach is based on a diffusion-coverage score of the ability of each user to spread information over the network. Candidate links for injection are identified by a matrix factorization technique and link injection is performed by attaching links to users according to their score. We additionally perform clustering to identify communities in order to inject links that crossdoi:10.1145/2740908.2742733 dblp:conf/www/RafailidisN15 fatcat:rq5soyoyjjatboyutvkqnprrpq