Lorena Regattieri

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How can we identify perspectives in large networks through the application of modularity algorithms? In the digital humanities [1][2], there is a fair number of scholarly work exploring computational routines to cluster and analyze enormous amounts of data. Recently, social data became a valuable source to study collective phenomenon, they provide the means(More)
In this paper, we map the controversy surrounding the Marco Civil da Internet (Civil Framework for the Internet) in Brazil. Drawing on a Twitter dataset spanning from August 2012 to December 2013, this study uses a series of methods of data mining, processing, and information visualization to produce a historiography of collective actions related to the(More)
How can visualizations of massive amounts of information be made more useful for data journalists? The availability of large amounts of publicly available user generated content is opening new opportunities to study social, cultural, and communications phenomenon. Computer assisted analysis now makes it possible to explore the relationship between nodes and(More)
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