Discovering Influential Nodes in Social Networks through Community Finding
نویسنده
چکیده
Finding influential nodes in a social network has many practical applications in such areas as marketing, politics and even disease control. Proposed methods often take greedy approaches to find the best k nodes to activate so that the diffusion of activation will spread to the largest number of nodes. In this paper, we study the effects of using a community finding approach to not only maximize the number of activated nodes but to also spread the activation to more segments of the network. After describing our approach we present experiments that explain the effects of this approach.
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تاریخ انتشار 2013