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Tweet Portraiture: Understanding the Gist of Electronic Identities through Microblogged Messaging in Social Media Using NCapture and NVivo 10
Abstract
A lifetime collection of microblogging messages captured from a microblogging account may be extracted from Twitter using NCapture (an add-on to Chrome and Internet Explorer); these short messages may be analyzed through NVivo and other data analysis and visualization software tools in order to highlight compressed-time gists (essences) of Twitter accounts for rapid assessment. This chapter provides an overview of how this work may be done and how the resulting word clouds, word trees, and tree maps may be analyzed for latent insights. This research approach may be applied to a range of social media platforms using the same software tools here (or using others that are publicly available). This chapter concludes with ideas for how to extend these methods.
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