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Titlebook: Advances in Social Computing; Third International Sun-Ki Chai,John J. Salerno,Patricia L. Mabry Conference proceedings 2010 Springer-Verla

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Using Social Network Analysis for Spam Detection,the use of social network analysis measures to improve the performance of a content filtering model. By measuring the degree centrality of message transfer agents, we observed performance improvements for spam detection in repeated experiments; e.g. a 70% increase in the proportion of spam detected
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Literature Search through Mixed-Membership Community Discovery,a scalable generative model. An ACA graph contains two types of edges: (1) coauthorship links and (2) links between researchers with substantial expertise overlap. Our solution eliminates the biases introduced by either looking at citations of a paper or doing a Web search. A case study on PubMed sh
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