1. Mining Social Networks for Viral Marketing

    Pedro Domingos Department of Computer Science and Engineering University of Washington Traditionally, social network models have been descriptive, rather than predictive: they are built at a very coarse level, typically with only a few global parameters, and are not useful for making actual predictions of the future behavior of the network. In the past, this was largely due to lack of data: the networks available for experimental study were small and f
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