Towards a more systematic analysis of twitter data: A framework for the analysis of twitter communities

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    Abstract

    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.

    Original languageEnglish
    Pages (from-to)303-314
    Number of pages12
    JournalCEUR Workshop Proceedings
    Volume2259
    Publication statusPublished - 2018
    Event26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2018 - Dublin, Ireland
    Duration: 6 Dec 20187 Dec 2018

    Keywords

    • Online social network analysis
    • Twitter communities analysis

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