Titlebook: Applications of Social Media and Social Network Analysis; Przemys?aw Kazienko,Nitesh Chawla Book 2015 Springer International Publishing Sw

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https://doi.org/10.1007/978-3-662-48893-5 show that our algorithm can compute more accurate reputations than existing algorithms especially when the topological information matters. The experiments are conducted in random social networks and Autonomous Systems Network of the Internet. In addition, we show the efficacies of each component i

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Elektrochemische Energiespeicherf ranks within the Top Friends (e.g., #1-versus-#3, #2-versus-#3, ...) also reveal no marked preference for a popular friend over a less popular one; in fact, there is some evidence that individuals tend to prefer less popular friends over more popular ones. To the extent that ranking decisions form

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https://doi.org/10.1007/978-3-7091-8671-8xt-aware mechanisms to drill down into evidence underlying presented indicators. The driving use case for our explanation infrastructure has been a specific analysis system designed to automate the forecasting of trends in science and technology based on collections of published patents and scientif

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