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In this work, we propose a regression method to predict the popularity of an online video measured by its number of views. Our method uses Support Vector Regression with Gaussian radial basis functions. We show that predicting popularity patterns with this approach provides more precise and more stable prediction results, mainly thanks to the nonlinear character of the proposed method as well as its...
In this paper we propose a comparative study of social network data related to three Asian-American student conferences: Taiwan-America Student Conference (TASC), Japan-America Student Conference (JASC) and Korea-America Student Conference (KASC). Such a study is built on the literature review of existing visualization methods and is based on the adoption of open source and freely available tools...
In Online Social Networks (OSNs), it can be difficult to maintain the context of a conversation or action, i.e. to know what the situation is and how to act appropriately. The resulting uncertainties may lead to privacy issues. We focus on one issue Context Collision in this paper, and motivate that a first step to address this issue is to help users distinguish groups of contacts within their OSN...
We take a detailed look at how users, while focusing on non-permission tasks, notice and fix access-control permission errors depending on where the access-control policy is spatially located on a photo-sharing website. The access-control policy was placed on an online photo-sharing website under the photo or album, on the sidebar, or on a separate settings page. We find that placing the access-control...
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