Learning cascaded influence under partial monitoring
ASONAM '16: Advances in Social Networks Analysis and Mining 2016 Davis California August, 2016, pp. 255-262, 2016.
We study a novel problem of cascade indirect influence based on the Independent Cascade model and propose two online learning algorithms for learning the cascaded influence in the partial monitoring setting
Social influence has attracted tremendous attention from both academic and industrial communities due to the rapid development of online social networks. While most research has been focused on the direct influence between peers, learning cascaded indirect influence has not been previously studied. In this paper, we formulate the concept ...More
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