Orienting Social Event Streams as Data Stories
We study the evolution of our university’s social networks over time, capturing direct, contextual, and latent changes in these networks. With the assumption of our university’s social dynamics being embodied in the networks we construct, we continuously monitor these networks in order to gain an understanding of the changes they go through and their evolution. Our system has three main components: (i) crawling the web for collecting data, (ii) networked data analysis, and (iii) data storytelling. Our goal is to render the social development of our university as a community in a lucid and insightful manner.
KeywordsSocial network analysis Data science Data visualization
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