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Discovering top-k influential users plays a central role in many social network applications. In this paper, we study a challenging problem of discovering item-based top-k influential users in social networks. Specifically, we present a dynamic selection approach (referred to as Item-based top-K influential user Discovering Approach, IDA for short), to identify the top-k influential users for a given...
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