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We investigate the "negative link" feature of social networks that allows users to tag other users as foes or as distrusted in addition to the usual friend and trusted links. To answer the question whether negative links have an added value for an online social network, we investigate the machine learning problem of predicting the negative links of such a network using only the positive links as a basis, with the idea that if this problem can be solved with high accuracy, then the "negativedoi:10.1145/2488388.2488452 dblp:conf/www/KunegisPS13 fatcat:ucqwn2niejexhlgs6dw7s3iycu