Exploring large social networks with matrix-based representations

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Microsoft Research
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Published on ● Video Link: https://www.youtube.com/watch?v=T0NIbzmRsig


Duration: 1:08:24
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As people conduct even more of their life electronically, vast new datasets are available for social scientists to analyze. Understanding the structure and evolution of popular online communities such as FaceBook, Flickr or Wikipedia creates new challenges for analysis tools. Information visualization can be a powerful approach to help social scientists both explore these social networks and present their findings to others. While most of the current systems propose node-link representations, in my PhD I explored matrix-based representations as an alternative. In this talk, I first present my research philosophy: involving users at all stages of the design and providing them with multiple perspectives on their data. I then describe three novel interactive visualizations for exploring and presenting large social networks. I finally conclude with future research directions.



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