To date, many studies have used the social media platform Twitter to gather insights into real-life events. The current literature focuses on patterns around isolated case studies and their dynamics happening on the platform, but it still lacks standard techniques for comparing behavioural and interaction patterns within and across Twitter communities. To fill this gap, we present a framework for characterizing online Twitter communities from a quantitative and a semantic point of view. We then discuss an example of the application of the framework to compare two distinct Twitter fan communities. This case study application clearly illustrates the benefits of the framework, while also highlighting potential areas for improvement and further extensions.
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