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Report -
SybilBlind: Detecting Fake Users in Online Social Networks ...people.duke.edu/~zg70/papers/sybilblind.pdf · social network [39,38,8,26,37,7,33,36,6,14,9,11,30,18,28,29]. These approaches
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