Zhengli Xiong

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The evaluation of a user's social influence is essential for various applications in online social networks (OSNs). We propose a fine-grained feature-based social influence (FBI) evaluation model. First, we construct a user's initial social influence by exploring two essential factors, that is, the possibility of impacting others and the importance of the(More)
Word-of-mouth (or viral) marketing effects have raised the problem of how to discover the influential members in a community in online social networks (OSNs). In this paper, we develop a novel model to evaluate the influential strength and identify the most influential users of a community in OSNs. We define a new concept of community label, which is used(More)
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