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Dimensionality reduction (DR) is often used for exploring the evolution patterns of a collection of dynamic ego-networks. However, DR often lacks flexibility: as analysts' questions evolve during data exploration, the low-dimensional projection remains static, limiting the depth of exploration. To address the inflexibility of DR, we designed a data transformation pipeline which enables analysts to transform dynamic ego-networks into event sequences for steering MDS to create different scatterplots of dynamic ego-networks.

The focus of the project is on designing an in-car gaming experience for passengers. While in-vehicle entertainment is a growing field, we see the opportunity to design in-vehicle entertainment through digital games.

GTJourney is an opportunity for all members of the Georgia Tech community to collaborate on applications and solutions that benefit the campus. It is a virtual focal point for students, faculty, and staff to develop ideas and solutions, find technical support and resources, advertise and access campus data, and share applications and experiences.