Awalin Sopan

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Information visualization is a powerful tool for analyzing the dynamic nature of social communities. Using Nation of Neighbors community network as a testbed, we propose five principles of implementing temporal visualizations for social networks and present two research prototypes: NodeXL and TempoVis. Three different states are defined in order to(More)
Social-media-supported academic conferences are becoming increasingly global as people anywhere can participate actively through backchannel conversation. It can be challenging for the conference organizers to integrate the use of social media, to take advantage of the connections between backchannel and front stage, and to encourage the participants to be(More)
There are a growing number of machine learning algorithms which operate on graphs. Example applications for these algorithms include predicting which customers will recommend products to their friends in a viral marketing campaign using a customer network, predicting the topics of publications in a citation network, or predicting the political affiliations(More)
Visualizations of static networks in the form of node-link diagrams have evolved rapidly, though researchers are still grappling with how best to show evolution of nodes over time in these diagrams. This paper introduces NetVisia, a social network visualization system designed to support users in exploring temporal evolution in networks by using heat maps(More)
Exploring Data Distributions: Visual Design and Evaluation Awalin Sopan a , Manuel Freier b , Meirav Taieb-Maimon c , Catherine Plaisant a , Jennifer Golbeck a & Ben Shneiderman a a Department of Computer Science and Human-Computer Interaction Lab , University of Maryland , College Park , Maryland , USA b Department of Computer Science , Universidad(More)
While visual overviews of tables of numerical and categorical data have been proposed for tables with a single value per cell, it is difficult to summarize tables containing columns of distributions (e.g. the distributions of ages or ethnicity across counties, or the distribution of movie ratings and trust ratings in recommender systems). We present a novel(More)
Visualizations of static networks in the form of node-link diagrams have evolved rapidly, though researchers are still grappling with how best to show evolution of nodes over time in these diagrams. This paper introduces NetVisia, a social network visualization system designed to support users in exploring temporal evolution in networks by using heat maps(More)
In this paper we describe CTArcade, a web application framework that seeks to engage users through game play resulting in the improvement of computational thinking (CT) skills. Our formative study indicates that CT skills are employed when children are asked to define strategies of common games such as Connect Four. In CTArcade, users can train their own(More)
Wrong patient selection errors are a major issue for patient safety; from ordering medication to performing surgery, the stakes are high. Widespread adoption of Electronic Health Record (EHR) and Computerized Provider Order Entry (CPOE) systems makes patient selection using a computer screen a frequent task for clinicians. Careful design of the user(More)